{
  "registry_schema": "nmd-vcell-reliability-advantage-registry/1.1",
  "registry_schema_url": "https://nmdvcell.com/resource/api/v1.1/reliability_advantage_registry.schema.json",
  "resource_release": "v1.2.0-measured-dmd-evidence",
  "interface_build": "EA-20260817-57",
  "assessed_at": "2026-08-16",
  "route": "/resource/reliability/",
  "overall_assessment": "Reliable for evidence identity, provenance, bounded synthesis and research workflow; limited for the frozen same-context aggregate benchmark; not established for cross-context DMD response; prohibited for therapeutic, patient or clinical use.",
  "scoring_policy": "No composite reliability score is emitted because engineering integrity, evidence synthesis, perturbation prediction and clinical validity are non-interchangeable claims.",
  "advantage_claims": [
    {
      "advantage_id": "ADV-01",
      "title": "Evidence boundaries are product behavior",
      "claim": "Measured, contextual, modeled, missing, failed and prohibited states remain distinct on public objects.",
      "proof": [
        "typed evidence states",
        "claim ceilings",
        "explicit abstentions",
        "empty registries remain visible"
      ],
      "current_strength": "PROVEN_PRODUCT_CAPABILITY",
      "durability": "HIGH_IF_GOVERNANCE_REMAINS_ENFORCED",
      "weakness": "The advantage disappears if future releases collapse missingness into scores or hide failed runs.",
      "falsification_test": "Audit every new result route for source, task, execution state, prohibited uses and missing target-context outcome.",
      "next_investment": "Make the reliability registry a required release gate.",
      "evidence_routes": [
        "/resource/claim_boundary",
        "/resource/models/",
        "/resource/registry"
      ],
      "evidence_object_ids": [
        "RELEASE:v1.2.0-measured-dmd-evidence:EA-20260817-57",
        "MRUN-RIDGE-SAFE-2.3-G0-REPEATED-FOLD"
      ]
    },
    {
      "advantage_id": "ADV-02",
      "title": "Neuromuscular context is first-class",
      "claim": "Disease, cell state, perturbation, time and phenotype are represented as the scientific unit rather than collapsed into a gene score.",
      "proof": [
        "four disease routes",
        "DMD process graph",
        "cell-context registry",
        "21 governed DMD decision contracts"
      ],
      "current_strength": "PROVEN_RESOURCE_CAPABILITY",
      "durability": "MEDIUM_UNTIL_PROPRIETARY_PERTURBATION_TRUTH_EXISTS",
      "weakness": "Current DMD assets are rich context but do not contain matched candidate-conditioned DMD response truth.",
      "falsification_test": "Verify that every disease claim names the exact source context and inferential unit.",
      "next_investment": "Acquire a matched DMD myogenic perturbation pilot with independent biological units.",
      "evidence_routes": [
        "/resource/diseases/",
        "/resource/process/",
        "/resource/cell-browser/"
      ],
      "evidence_object_ids": [
        "MDEMANIFEST:v1.2.0-measured-dmd-evidence:EA-20260817-57",
        "PROJECTSTATE:v1.2.0-measured-dmd-evidence:DMD-MIN-PERTURBOME:1.1"
      ]
    },
    {
      "advantage_id": "ADV-03",
      "title": "Research objects form a closed loop",
      "claim": "Dataset, ModelRun, Study, Prediction and Outcome share identities and legal handoffs.",
      "proof": [
        "Dataset Cards",
        "immutable ModelRun releases",
        "Study Card planner",
        "prospective lifecycle registry"
      ],
      "current_strength": "STRUCTURALLY_IMPLEMENTED_NO_RETURNED_OUTCOMES",
      "durability": "HIGH_AFTER_FIRST_PROSPECTIVE_OUTCOME_RETURN",
      "weakness": "The outcome registry is intentionally empty, so the loop is structurally complete but not yet empirically exercised.",
      "falsification_test": "A future outcome must trace back to its frozen study, prediction, data and decision rule without manual reconstruction.",
      "next_investment": "Register and return the first prospective null, positive, toxic or failed outcome.",
      "evidence_routes": [
        "/resource/datasets/",
        "/resource/models/",
        "/resource/planner",
        "/resource/registry"
      ],
      "evidence_object_ids": [
        "LIFECYCLE:v1.2.0-measured-dmd-evidence:EA-20260817-57",
        "MRUN-RIDGE-SAFE-2.3-G0-REPEATED-FOLD"
      ]
    },
    {
      "advantage_id": "ADV-04",
      "title": "Simple baselines are permanent",
      "claim": "Advanced models cannot advance by reputation, scale or one aggregate metric.",
      "proof": [
        "same-coverage baseline rule",
        "frozen G0-G7 tasks",
        "six-level evaluation ladder",
        "GEARS and scGPT failures retained"
      ],
      "current_strength": "PROVEN_METHOD_GOVERNANCE",
      "durability": "HIGH_IF_BASELINES_REMAIN_MANDATORY",
      "weakness": "A baseline firewall protects decisions but does not create missing disease outcome.",
      "falsification_test": "Re-run each advanced model against identical data, split, genes, seeds and metric code.",
      "next_investment": "Add perturbation-specific and population baselines as new output types become executable.",
      "evidence_routes": [
        "/resource/technology-methods/",
        "/resource/benchmarks/",
        "/resource/models/"
      ],
      "evidence_object_ids": [
        "MRUN-RIDGE-SAFE-2.3-G0-REPEATED-FOLD",
        "MRUN-GEARS-0.1.2-FIVE-SEED-20260713",
        "MRUN-SCGPT-0.2.5-FIVE-SEED-20260714"
      ]
    },
    {
      "advantage_id": "ADV-05",
      "title": "Negative results remain reusable assets",
      "claim": "Failed, no-go, stopped, null and abstained states are released with the same identity discipline as positive results.",
      "proof": [
        "six ModelRun release pages",
        "reproduction receipts",
        "null cross-disease results",
        "prohibited-use fields"
      ],
      "current_strength": "PROVEN_PRODUCT_CAPABILITY",
      "durability": "HIGH_IF_SELECTION_BIAS_IS_RESISTED",
      "weakness": "Negative computational results do not replace prospective biological validation.",
      "falsification_test": "Compare public registries against the complete execution ledger and require every terminal run to be represented.",
      "next_investment": "Attach resource-cost and failure-taxonomy fields to future ModelRuns.",
      "evidence_routes": [
        "/resource/models/",
        "/resource/model-run/mrun-gears-0-1-2-five-seed-20260713/",
        "/resource/diseases/compare/"
      ],
      "evidence_object_ids": [
        "MRUN-GEARS-0.1.2-FIVE-SEED-20260713",
        "MRUN-SCGPT-0.2.5-FIVE-SEED-20260714",
        "MRUN-TXPERT-CONFIG-GAT-SEED-20260712",
        "MRUN-MORPH-DEPMAP25Q3-VALIDATION-20260722"
      ]
    }
  ],
  "reliability_domains": [
    {
      "domain_id": "REL-01",
      "title": "Software & release integrity",
      "state": "HIGH_ENGINEERING_CONFIDENCE",
      "short_reason": "Build, route, schema and cross-surface gates pass locally.",
      "evidence": [
        "full vinext production build PASS",
        "51 rendered contract tests",
        "246 multidisease checks",
        "24 cross-surface checks",
        "checksum-addressed release objects"
      ],
      "evidence_object_ids": [
        "RELEASE:v1.2.0-measured-dmd-evidence:EA-20260817-57"
      ],
      "limitation": "Anonymous command-line production QA is blocked by the existing edge HTTP 403 policy.",
      "permitted_use": "Rebuild, audit and navigate the released research resource.",
      "prohibited_inference": "Engineering integrity does not validate a biological prediction.",
      "next_gate": "Add authenticated post-deploy route checks to the immutable production receipt."
    },
    {
      "domain_id": "REL-02",
      "title": "Identity, provenance & data contracts",
      "state": "HIGH_RESOURCE_CONFIDENCE",
      "short_reason": "Identifiers, sources, contexts, nulls and transformations are explicit.",
      "evidence": [
        "17,921 released gene records",
        "HGNC alias map",
        "Dataset Cards",
        "typed API",
        "checksums and release identities"
      ],
      "evidence_object_ids": [
        "NMDVCELL-HEPG2-CRISPRI",
        "GSE293514",
        "GSE272233",
        "GSE52529",
        "GSE133344"
      ],
      "limitation": "A valid data object can still be unsuitable for a particular prediction task.",
      "permitted_use": "Identity resolution, evidence lookup and reproducible data intake.",
      "prohibited_inference": "Presence in the resource is not disease relevance or efficacy.",
      "next_gate": "Require ontology and inferential-unit validation on every newly imported dataset."
    },
    {
      "domain_id": "REL-03",
      "title": "Disease evidence synthesis",
      "state": "BOUNDED_RESEARCH_CONFIDENCE",
      "short_reason": "Source-linked context is strong enough for hypothesis and study design.",
      "evidence": [
        "DMD measured-evidence release",
        "four disease modules",
        "cell-context map",
        "process and evidence graphs"
      ],
      "evidence_object_ids": [
        "MDEMANIFEST:v1.2.0-measured-dmd-evidence:EA-20260817-57",
        "PROJECTSTATE:v1.2.0-measured-dmd-evidence:DMD-MIN-PERTURBOME:1.1"
      ],
      "limitation": "Observational and correction context does not establish candidate-conditioned causal response.",
      "permitted_use": "Mechanism navigation, gap analysis and prospective study design.",
      "prohibited_inference": "Do not treat integrated context as target efficacy or causal proof.",
      "next_gate": "Independent replication plus matched perturbation and functional endpoints."
    },
    {
      "domain_id": "REL-04",
      "title": "Same-context perturbation benchmark",
      "state": "LIMITED_TASK_CONFIDENCE",
      "short_reason": "Ridge slightly improves mean RMSE, but response direction is unsupported.",
      "evidence": [
        "MRUN-RIDGE-SAFE-2.3-G0-REPEATED-FOLD",
        "RMSE 0.1175 vs train mean 0.1180",
        "strict outcome gate 0/16"
      ],
      "evidence_object_ids": [
        "MRUN-RIDGE-SAFE-2.3-G0-REPEATED-FOLD"
      ],
      "limitation": "The output is a 2,000-feature aggregate HepG2 mean vector, not a cell population or DMD response.",
      "permitted_use": "Permanent same-assay comparator and leakage diagnostic.",
      "prohibited_inference": "No directional transfer, DMD prediction or functional effect.",
      "next_gate": "Beat matched means on perturbation-specific delta and distribution metrics across prospective holdouts."
    },
    {
      "domain_id": "REL-05",
      "title": "Cross-context & DMD response prediction",
      "state": "NOT_ESTABLISHED",
      "short_reason": "No model has passed a matched DMD candidate-response task.",
      "evidence": [
        "GEARS failed five frozen splits",
        "scGPT lost to same-coverage baselines",
        "TxPert calibration pending",
        "direct DMD candidate outcome 0/21"
      ],
      "evidence_object_ids": [
        "MRUN-GEARS-0.1.2-FIVE-SEED-20260713",
        "MRUN-SCGPT-0.2.5-FIVE-SEED-20260714",
        "MRUN-TXPERT-CONFIG-GAT-SEED-20260712",
        "LIFECYCLE:v1.2.0-measured-dmd-evidence:EA-20260817-57"
      ],
      "limitation": "The required donor- and cell-state-matched perturbation outcome matrix does not exist in the release.",
      "permitted_use": "Method research, task design and governed abstention.",
      "prohibited_inference": "No candidate ranking, efficacy prediction or virtual DMD response population.",
      "next_gate": "Acquire and freeze matched DMD perturbation outcomes before model selection."
    },
    {
      "domain_id": "REL-06",
      "title": "Therapeutic, patient & clinical use",
      "state": "PROHIBITED",
      "short_reason": "No clinical calibration, prospective outcome set or authorization exists.",
      "evidence": [
        "zero calibrated DMD models",
        "zero prospective predictions",
        "zero measured outcomes",
        "DOI and institutional licences pending"
      ],
      "evidence_object_ids": [
        "LIFECYCLE:v1.2.0-measured-dmd-evidence:EA-20260817-57",
        "RELEASE:v1.2.0-measured-dmd-evidence:EA-20260817-57"
      ],
      "limitation": "The platform is a research resource, not a medical device or treatment recommender.",
      "permitted_use": "None beyond research hypothesis and study-design support.",
      "prohibited_inference": "No diagnosis, prognosis, treatment selection, dosing or patient-level digital twin.",
      "next_gate": "A separate clinically governed development and validation program; current research gates cannot unlock it."
    }
  ],
  "moat_plan": [
    {
      "stage_id": "MOAT-00",
      "title": "Trust infrastructure",
      "state": "IMPLEMENTED",
      "deliverable": "Typed evidence, model and reliability contracts with negative-result preservation.",
      "acceptance_gate": "Every claim has provenance, execution state, failure state, ceiling and next gate.",
      "no_shortcut": "Do not replace explicit states with a synthetic trust score.",
      "advantage_unlocked": "Auditable research decision support."
    },
    {
      "stage_id": "MOAT-01",
      "title": "Matched DMD perturbation pilot",
      "state": "BLOCKED_EXTERNAL_EXPERIMENT",
      "deliverable": "Candidate-conditioned DMD myogenic perturbation outcomes with independent biological units, molecular and functional readouts.",
      "acceptance_gate": "Frozen estimand, controls, donor/culture units, QC, toxicity and complete outcome return.",
      "no_shortcut": "Do not substitute healthy myoblast, HepG2 or unperturbed DMD context.",
      "advantage_unlocked": "First proprietary disease-task truth and model eligibility."
    },
    {
      "stage_id": "MOAT-02",
      "title": "Donor-resolved benchmark",
      "state": "PENDING_MOAT_01",
      "deliverable": "Leakage-safe donor, state and perturbation holdouts with permanent simple baselines.",
      "acceptance_gate": "Perturbation-specific, population, calibration and functional layers pass prospectively.",
      "no_shortcut": "Cells cannot be treated as independent donors and mean RMSE cannot be the only metric.",
      "advantage_unlocked": "Defensible NMD generalization evidence."
    },
    {
      "stage_id": "MOAT-03",
      "title": "Prospective learning loop",
      "state": "PENDING_MOAT_02",
      "deliverable": "Registered predictions whose positive, null, toxic and failed outcomes return to the same evidence graph.",
      "acceptance_gate": "Immutable preregistration, blinded evaluation, calibration and independent replication.",
      "no_shortcut": "Retrospective fit cannot be relabeled as prospective validation.",
      "advantage_unlocked": "Compounding proprietary evidence and a genuinely exercised closed loop."
    }
  ],
  "release_receipt": {
    "source_candidate": {
      "state": "UNVERIFIED_AFTER_SOURCE_BUILD",
      "required_gates": "Full build, scientific validators, rendered contracts and lint",
      "deployment_receipt": "EXTERNAL_POST_BUILD_RECEIPT_REQUIRED"
    },
    "latest_bundled_historical_deployment": {
      "sites_version": 167,
      "deployment_status": "SUCCEEDED",
      "content_commit": "91e7e8ff973d47db9f010d89879276000b5e2ffa",
      "production_url": "https://nmdvcell.com/resource/",
      "provider_url": "https://nmd-vcell.sema3c.chatgpt.site/resource/",
      "deployed_at": "2026-09-04T12:36:05.613749+00:00",
      "anonymous_route_qa": "BLOCKED_HTTP_403",
      "receipt_scope": "COMPLETED_PRIOR_DEPLOYMENT_NOT_CURRENT_SOURCE_CANDIDATE"
    }
  },
  "valid_for_release": true,
  "update_rule": "A reliability state changes only when its named next gate produces a versioned object; a new page, model name or external citation cannot upgrade it.",
  "claim_boundary": "This registry audits current product and evidence reliability. It is not a certification, medical-device assessment, therapeutic recommendation or substitute for prospective biological and clinical validation."
}
