{"id":"W4410088868","doi":"10.26443/law.v69i4.1627","title":"Responsible AI","year":2024,"lang":"en","type":"article","venue":"McGill Law Journal","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002438824,0.00006185754,0.00008734982,0.00005919152,0.006011484,0.0008193846,0.0001843688,0.0001265045,0.0006646269],"category_scores_gemma":[0.0004086784,0.00005333174,0.0001069177,0.0002159938,0.000233282,0.0007253274,0.00002318963,0.000686621,0.0002113842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001370792,"about_ca_system_score_gemma":0.0001349866,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003201786,"about_ca_topic_score_gemma":0.02673975,"domain_scores_codex":[0.9987674,0.0002275514,0.000145441,0.00009669198,0.0004496735,0.0003132322],"domain_scores_gemma":[0.9992574,0.0002131354,0.00002591534,0.00006416356,0.0001951092,0.00024431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005367584,0.000008949706,0.00000662804,0.000003268883,0.00001716868,0.0001042288,0.00186076,0.000001849631,0.00004712045,0.9861535,0.007097623,0.004693508],"study_design_scores_gemma":[0.00004250134,0.0000259091,0.00001756672,0.00004175551,0.000007987668,0.00001567147,0.0007549522,0.000006917428,0.00008834306,0.1699654,0.8289675,0.00006545704],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001377117,0.0005164163,0.00003256947,0.08417643,0.001692413,0.00004186662,0.000009574161,0.00009576617,0.9120579],"genre_scores_gemma":[0.9911515,0.00052051,0.0002460122,0.002687427,0.001117863,7.559426e-7,3.103665e-7,0.00001288514,0.00426275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9897743,"threshold_uncertainty_score":0.9952825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0526171416579714,"score_gpt":0.4110048174458746,"score_spread":0.3583876757879032,"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."}}