{"id":"W4400432787","doi":"","title":"Perspectives on AI-ML Safety Assurance","year":2024,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Safety assurance; Computer science; Engineering; Reliability engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.005024058,0.0001653015,0.0001886655,0.0002245322,0.0003490224,0.0008838786,0.001471836,0.00008329197,0.0001348548],"category_scores_gemma":[0.002156328,0.000151626,0.0001942531,0.001310717,0.0001873762,0.0004429498,0.0003991423,0.0004193338,0.0003288096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001417013,"about_ca_system_score_gemma":0.0002480479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002032585,"about_ca_topic_score_gemma":0.0001568832,"domain_scores_codex":[0.9952753,0.0027527,0.0002723016,0.0007951352,0.0005786452,0.0003259311],"domain_scores_gemma":[0.99356,0.003421376,0.00005492732,0.001719466,0.001091515,0.0001527232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006016931,0.0003149174,0.0005976608,0.00005938416,0.00005994567,0.0000135028,0.009883164,0.00007122132,0.000952487,0.8551682,0.002262144,0.1306114],"study_design_scores_gemma":[0.000775418,0.000003604912,0.01250545,0.002776084,0.00003744137,0.00003834184,0.0007386432,0.679434,0.04665672,0.03084463,0.2251274,0.001062275],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008699717,0.002619282,0.8926362,0.05672343,0.0001284282,0.0001598506,0.0000105795,0.0006478957,0.03837461],"genre_scores_gemma":[0.9609086,0.00100977,0.02952922,0.000157336,0.00002152544,0.00002252338,0.00001528035,0.00001720399,0.008318559],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9522089,"threshold_uncertainty_score":0.8523261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053641486075562,"score_gpt":0.2568687325948503,"score_spread":0.2463323177340946,"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."}}