{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01253681,0.0006258768,0.0004711268,0.001284672,0.006491876,0.009718021,0.00219666,0.007332352,0.02838519],"category_scores_gemma":[0.02102489,0.0003626765,0.0007171691,0.0007769649,0.018958,0.008546718,0.007210006,0.00629285,0.008136784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006062011,"about_ca_system_score_gemma":0.01150294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005471244,"about_ca_topic_score_gemma":0.005019714,"domain_scores_codex":[0.9871668,0.004269873,0.0005189974,0.002456474,0.004117891,0.001470011],"domain_scores_gemma":[0.9879264,0.004212495,0.0008891726,0.002912438,0.002726495,0.001333117],"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":[0.000002709767,0.000007709667,0.0001131314,0.00001848779,0.000002837881,0.0000187471,0.0004486589,0.00008551091,0.00004409384,0.9774628,0.01559993,0.006195433],"study_design_scores_gemma":[0.000006435007,0.00001188462,0.0001506793,0.0001297449,0.000005336844,0.00007918166,0.0004538557,0.0003399676,0.0002037473,0.4264772,0.5721306,0.00001136758],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002351462,0.002674468,0.02974268,0.06343486,0.001742951,0.000107485,0.00007668082,0.0002225027,0.8996468],"genre_scores_gemma":[0.4133155,0.006038674,0.02249056,0.06428164,0.003371494,0.0005198982,0.000285798,0.0005441709,0.4891523],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02838519,"threshold_uncertainty_score":0.09495795,"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."}}