{"id":"W7117369539","doi":"10.5281/zenodo.18063419","title":"Atomic Trust Systems: A Closed Algebraic Framework for Normative Interpretation, Propagation, and Verifiable Governance","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Access Control and Trust","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Verifiable secret sharing; Equivalence (formal languages); Normative; Algebraic number; Simple (philosophy); State (computer science); Corporate governance; Algebra over a field","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006781869,0.0008184478,0.0008775264,0.002441068,0.002614227,0.007593807,0.00237173,0.002054204,0.003920435],"category_scores_gemma":[0.01178652,0.0007384454,0.00197604,0.002177019,0.009025255,0.01022931,0.004428479,0.005049603,0.001076517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003537074,"about_ca_system_score_gemma":0.003962099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005751097,"about_ca_topic_score_gemma":0.003712145,"domain_scores_codex":[0.9947636,0.001853928,0.0005051359,0.0009121366,0.001553832,0.0004112443],"domain_scores_gemma":[0.9954235,0.00174595,0.0006380671,0.0008874332,0.0009874037,0.00031767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006963304,0.000005374947,0.00004304822,0.00001873352,0.000005001236,0.000025922,0.0001464802,0.002359072,0.0001907232,0.9939232,0.0003053931,0.002969987],"study_design_scores_gemma":[0.00001322644,0.00001659945,0.00003646681,0.00002848904,0.00001300976,0.0000476951,0.0000784658,0.02571694,0.0004996997,0.9633124,0.01021778,0.00001925849],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003265925,0.0002173881,0.9895512,0.0006190843,0.00008673727,0.00006896469,0.0001448813,0.0002077824,0.005838037],"genre_scores_gemma":[0.2973259,0.0007395643,0.6943031,0.0003351436,0.0003993474,0.0005321616,0.0004790713,0.000180141,0.005705555],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007593807,"threshold_uncertainty_score":0.03586644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01549852727117949,"score_gpt":0.2736534232857887,"score_spread":0.2581548960146092,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}