{"id":"W4406882769","doi":"10.1609/aies.v7i2.31896","title":"Model Multiplicity for Responsible AI","year":2025,"lang":"en","type":"article","venue":"Proceedings of the AAAI/ACM Conference on AI Ethics and Society","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Multiplicity (mathematics); Computer science; Mathematics; Geometry","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":[0.01645121,0.001218298,0.001481144,0.001681478,0.003053858,0.007384879,0.00333855,0.005604352,0.009510583],"category_scores_gemma":[0.05426746,0.0009313928,0.002125672,0.0008785035,0.01189458,0.01469718,0.01134221,0.01097657,0.001636935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00385418,"about_ca_system_score_gemma":0.004918674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001847394,"about_ca_topic_score_gemma":0.001486534,"domain_scores_codex":[0.9831328,0.009049574,0.001010915,0.002622643,0.00327717,0.0009067866],"domain_scores_gemma":[0.9537231,0.02615343,0.002774691,0.01163004,0.003523748,0.002194992],"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":[0.000018643,0.00001887272,0.0003210396,0.0000566646,0.00002001935,0.00005569891,0.0002687836,0.007903893,0.0001644617,0.9859072,0.001186426,0.004078208],"study_design_scores_gemma":[0.00001138141,0.00001619075,0.00005124273,0.00005195199,0.00001076667,0.00005303296,0.00004991173,0.02126602,0.0001943667,0.9700979,0.008182266,0.00001495711],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01571204,0.002705998,0.8875522,0.03140422,0.0007621679,0.0001627125,0.0002171399,0.0005275049,0.06095599],"genre_scores_gemma":[0.7484334,0.001952917,0.2290832,0.004951467,0.001090752,0.0007460598,0.0003321382,0.0004815831,0.01292856],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01645121,"threshold_uncertainty_score":0.08700335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04764815443537723,"score_gpt":0.3124607424466821,"score_spread":0.2648125880113049,"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."}}