{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00466881,0.0009853056,0.001453345,0.001198145,0.0002077525,0.00007625834,0.001704539,0.0005069948,0.00001442558],"category_scores_gemma":[0.0002381167,0.001256842,0.0004174047,0.001578391,0.0001013097,0.000217585,0.0005722014,0.01100978,0.00004728627],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02129274,"about_ca_system_score_gemma":0.002829954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008770917,"about_ca_topic_score_gemma":0.0004256756,"domain_scores_codex":[0.9908416,0.0002996275,0.00267184,0.0008734249,0.0006736207,0.004639923],"domain_scores_gemma":[0.9967567,0.0003551525,0.001292694,0.001100778,0.0003521649,0.0001425047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004123087,0.0001003199,0.01863783,0.003905154,0.001015105,0.00001309105,0.0001620296,0.8951337,0.00008134053,0.04732361,0.00001059158,0.033576],"study_design_scores_gemma":[0.00271833,0.0002039575,0.07535579,0.03217515,0.0004402839,0.0004048756,0.001546904,0.787079,0.00006231361,0.09724734,0.001131921,0.001634119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01736612,0.04571956,0.9095456,0.00006125009,0.004552729,0.001722037,0.00007985777,0.0002767178,0.02067613],"genre_scores_gemma":[0.966423,0.01537652,0.01633284,0.000003813839,0.0003791092,0.000092644,0.000007712104,0.0001131162,0.0012713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9490568,"threshold_uncertainty_score":0.9989882,"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."}}