Clinical decision support
Instance · Clinical decision supportPhysician as final authority (Instance A) · foundational
Zabolotnii, Holinko, Antonenko
The foundational instance. Rule-oriented clinical logic (L1, FUTURE-AI-aligned traceability); risk scores, vital-sign time series and lab classifiers plus clinical-note NER (L2a); an LLM validator that checks free-text notes for coherence against the patient's anamnesis (L2b); routine cases via calibrated L2a, borderline → L2b, joint high-risk ∧ high-confidence or L2a/L2b inconsistency → mandatory clinician handoff (L3); physician as final reviewer, aligned with the TRIAD human–AI framework (L4).
metricsETC · OvR · CE · CFI · CRP · EP · FPA · RBI · ABC · OSI
Contributes
- ·Empirical anchor for the framework — the first validated instantiation.
- ·Concrete mapping of TRACE onto external clinical-AI standards: FUTURE-AI traceability and the TRIAD human–AI collaboration framework.
Open / to reconcile
- ·Paper 0 under review — the metrological validation is written up, not yet peer-accepted.
Foundational instance. Paper 0 — IEEE Instrumentation & Measurement Magazine special issue "A Measure of Trust in Healthcare"; under review (Sep 2026).
Industrial multi-domain — upstream oil & gas
Instance · Industrial multi-domainDriller / supervisor / HSE escalation (Instance B) · patent pending
Shcherban (lead), Zabolotnii
A foundational instance running three sub-domains at once (technology, operations, administrative). A physics-informed control core (L1); classical ML dominant over MWD/LWD and equipment signals — anomaly detection, predictive maintenance, residual-life (L2a); LLM validators for incident narratives and contract diff (L2b); cost-tiered per-sub-domain routing with sustained-anomaly and SLA-breach escalation (L3); driller / supervisor / HSE officer and lawyer / procurement reviewers under DNV-RP-0671 governance (L4). The dominant layer shifts with the type of evidence.
metricsRCR · RCI · EP · TCC · FPA · OvR · RBI · ABC · OSI · ETC · CPR
Contributes
- ·An adaptive non-Gaussian statistical core placed ahead of any ML stage (model parsimony in practice), validated on the open Utah FORGE geothermal dataset.
- ·Independent industrial origin (2024–2026) that structurally motivated the TRACE formalisation.
- ·Strongest validation of Model Parsimony — L2a-dominant across structured-signal sub-domains.
- ·Sub-domain × layer matrix showing the dominant layer shifting by evidence type.
- ·Where CPR gets its first empirical evaluation on a real platform (Paper 2).
Open / to reconcile
- ·Domain-specific methodology and operational statistics are reported separately (Paper 2, Shcherban-led) — not all public yet.
Foundational instance. Patent pending — UA u 2025 04038; U.S. Copyright Office deposit (Mar 2026). Paper 2 planned Q3 2026.
Judicial decision support
Instance · Judicial decision supportSupreme Court of Ukraine · Legal Positions Database (Instance C)
Zabolotnii, with the Supreme Court of Ukraine, funded by Expertise France
A v2 research roadmap: seven applied directions plus a cross-cutting EU-integration dimension. TRACE's value concentrates in L3, reframed as a machine-checkable normative act of the Court rather than a technical config. Direction 4.7 makes L4 oversight empirically measurable (telemetry + injected-error red-teaming + NASA-TLX).
metricsETC · OvR · EP · CRP · CFI · UTC · RCI · IPSR · RBI · SNR · ABC · CE · OSI · FPA
Contributes
- ·L3 as a machine-checkable normative act — the strongest L3 formalisation across all instances.
- ·Direction 4.7 operationalises L4 metrics (OvR, RBI, SNR): meaningful-oversight measurement against rubber-stamping.
- ·Explicit out-of-scope catalogue: predictive justice, automated procedural decisions, training-data contamination.
Open / to reconcile
- ·Seventeen metrics under-used in the draft — addressed via the metrics-mapping companion.
- ·Staged autonomy (ABC) absent; natural fit: pilot → category expansion with accumulated stability data.
Internal TRACE instance. Target venues per roadmap: JURIX 2027, Artificial Intelligence and Law, Law/Innovation/Technology.
Customs & government assistant
Instance · Customs & governmentState Customs Service of Ukraine · tender architecture (4th domain)
Zabolotnii, 2026 (tender engineering package)
The most operationally concrete instance: named models (GliNER, XGBoost, e5-large, bge-reranker, GPT-5 Mini/Nano), a T1–T5 tier-ladder delivery, and bottom-up TCO. Fully aligned with current canon — it uses the L2a/L2b split, CPR, and the six-principle set as defined in trace.js, rather than extending them.
metricsRCR · UTC · CRP · CE · EP · TCC · RBI · OvR · ETC · OSI · CPR
Contributes
- ·Anti-pattern catalogue (§9): LLM-by-default, TAO-conflation, confidence-only escalation, cosmetic L4, learned L1, stateless L3, L2→L4 direct — TRACE's negative space, reusable in canonical docs.
- ·Tier-ladder T1→T5: the clearest concrete operationalisation of Staged Autonomy / ABC (authority earned through accumulated stability data, incremental delivery).
- ·Task-by-task L2a-vs-L2b selection table — a worked template for the right-sized-learned principle.
- ·Honest CPR economics (Annex B v2): at GPT-5 prices CPR is a parsimony / overhead diagnostic, not a 'cheaper-than-baseline' slogan.
Open / to reconcile
- ·Surfaces a 4th domain (customs / government) absent from the site's DOMAINS — clinical, upstream, legal only.
- ·Annex B v1's 'CPR ≈ 0.10 = 10× cheaper' framing was retracted in v2; keep the quality + compliance-avoidance framing.
Applied / commercial instance (tender bid). Not a peer-reviewed source.