From Black-Box Confidence to Measurable Trust in Clinical AI: A Framework for Evidence, Supervision, and Staged Autonomy explores A framework for trustworthy clinical AI that engineers trust through evidence, supervision, and staged autonomy, moving beyond black-box confidence.. Commercial viability score: 6/10 in Clinical AI.
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This route is the stable paper-level surface for citations, viability, references, and downstream handoffs. Use it as the proof layer behind Signal Canvas, workspace creation, and launch-pack generation.
Page Freshness
Canonical route: /paper/from-black-box-confidence-to-measurable-trust-in-clinical-ai-a-framework-for-evidence-supervision-and-staged-autonomy
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID from-black-box-confidence-to-measurable-trust-in-clinical-ai-a-framework-for-evidence-supervision-and-staged-autonomy | Route /paper/from-black-box-confidence-to-measurable-trust-in-clinical-ai-a-framework-for-evidence-supervision-and-staged-autonomy
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/from-black-box-confidence-to-measurable-trust-in-clinical-ai-a-framework-for-evidence-supervision-and-staged-autonomyMCP example
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/buildability/from-black-box-confidence-to-measurable-trust-in-clinical-ai-a-framework-for-evidence-supervision-and-staged-autonomy
Subject: From Black-Box Confidence to Measurable Trust in Clinical AI: A Framework for Evidence, Supervision, and Staged Autonomy
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
Time to first demo
Insufficient data
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Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
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Research neighborhood
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Preparing verified analysis
Dimensions overall score 6.0
No public claim map is available for this paper yet.
Visual citation anchors from the paper document graph.
{"file name": "input.pdf", "number of pages": 12, "author": "Serhii Zabolotnii; Viktoriia Holinko; Olha Antonenko", "title": "From Black-Box Confidence to Measurable Trust in Clinical AI: A Framework for Evidence, Supervision, and Staged Autonomy", "creation date": null, "modification date": null, "kids": []}
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Receipt path
/buildability/from-black-box-confidence-to-measurable-trust-in-clinical-ai-a-framework-for-evidence-supervision-and-staged-autonomy
Paper ref
from-black-box-confidence-to-measurable-trust-in-clinical-ai-a-framework-for-evidence-supervision-and-staged-autonomy
arXiv id
2604.26671
Generated at
2026-04-30T15:13:33.666Z
Evidence freshness
fresh
Last verification
2026-04-30T15:13:33.666Z
Sources
3
References
0
Coverage
50%
Lineage hash
ae5d85765be81fb1a9f4d2443b3fbe792864af8b5272763535dcd99a17f1d80b
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
No founder, registry, pilot, or production-adoption signature is attached to this receipt.
Verification
not_verified
Verification is blocked until an external signature is provided.
Pending verification refs / 3 sources / Verification pending
repo_url
references