{"id":"W3123285973","doi":"","title":"Regulatory Reform in Ontario: Machine Learning and Regulation","year":2018,"lang":"en","type":"article","venue":"C.D. Howe Institute Commentary","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Big data; Analytics; Government (linguistics); Computer science; Business; Artificial intelligence; Data science; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0105901,0.0006665965,0.0008510448,0.001549787,0.02643185,0.0121644,0.003257245,0.01740284,0.008758775],"category_scores_gemma":[0.02921666,0.0006814123,0.001542262,0.003222777,0.02405061,0.005071808,0.003631227,0.01348921,0.001109363],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2056376,"about_ca_system_score_gemma":0.2878525,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9875733,"about_ca_topic_score_gemma":0.9927319,"domain_scores_codex":[0.9771085,0.003664617,0.0006573023,0.001369394,0.01149989,0.005700412],"domain_scores_gemma":[0.9771621,0.008121623,0.0009762876,0.0009570258,0.01037653,0.002406527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000411187,0.00003466943,0.003537656,0.0001753965,0.00002661772,0.0003928805,0.004328735,0.0006318883,0.0001815118,0.4565724,0.5145876,0.01948946],"study_design_scores_gemma":[0.00007332832,0.00001882205,0.01096102,0.0004288633,0.00003499071,0.00006999073,0.002828133,0.001151952,0.0001989702,0.04681126,0.9372908,0.000131898],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004173792,0.009473455,0.001144956,0.8963383,0.002653012,0.00004489791,0.000290062,0.00005748657,0.08582398],"genre_scores_gemma":[0.2313423,0.0238049,0.003559156,0.5485134,0.004962873,0.0002499276,0.0005112112,0.0001947948,0.1868614],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2056376,"threshold_uncertainty_score":0.9213477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04114407067987638,"score_gpt":0.3422707816455392,"score_spread":0.3011267109656628,"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."}}