{"id":"W4417407094","doi":"10.2139/ssrn.5723222","title":"Evolution of Compliance Testing in Compliance Risk Management","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Safety Systems Engineering in Autonomy","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Compliance (psychology); Risk management; Risk assessment; Test (biology)","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":[0.0214298,0.0007874446,0.0009407784,0.003402598,0.001116022,0.004695434,0.002926961,0.002599302,0.004744997],"category_scores_gemma":[0.09635794,0.0008908386,0.000945711,0.002366748,0.002985847,0.007213677,0.002992533,0.0032116,0.0008746273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002643319,"about_ca_system_score_gemma":0.003705461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005722219,"about_ca_topic_score_gemma":0.00246439,"domain_scores_codex":[0.9737532,0.01431858,0.001194411,0.002661511,0.00708928,0.0009830449],"domain_scores_gemma":[0.8734167,0.07892302,0.005796985,0.02334435,0.01602081,0.002498077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005627512,0.00101132,0.04120142,0.0003248804,0.000252575,0.0005921256,0.002335379,0.09216391,0.009714733,0.3483649,0.004244967,0.4992311],"study_design_scores_gemma":[0.00007746455,0.0003971974,0.01184313,0.0002163103,0.0001550945,0.0006994926,0.0005859328,0.6861083,0.01013983,0.2746868,0.01499268,0.0000977347],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2066547,0.001358482,0.7445733,0.00455127,0.0002332342,0.0002995186,0.0002922596,0.002746995,0.03929018],"genre_scores_gemma":[0.8012823,0.0003094385,0.1943095,0.0003295948,0.0001153272,0.00007825055,0.0002512804,0.0003010311,0.003023238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0214298,"threshold_uncertainty_score":0.113333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02122354529674391,"score_gpt":0.2484777174007985,"score_spread":0.2272541721040545,"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."}}