{"id":"W6989345708","doi":"","title":"Are machine learning corpora “fair dealing” under Canadian law?","year":2021,"lang":"en","type":"article","venue":"UWSpace (University of Waterloo)","topic":"Legal Language and Interpretation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Style (visual arts); Key (lock); Training set; Machine translation; Training (meteorology)","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":[0.05752822,0.00107778,0.001303503,0.0101041,0.0167876,0.02085404,0.006508381,0.004334923,0.00887063],"category_scores_gemma":[0.247316,0.001165346,0.0009949039,0.02019529,0.01765887,0.01738659,0.00604008,0.005358539,0.001673027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04711192,"about_ca_system_score_gemma":0.07273168,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8487754,"about_ca_topic_score_gemma":0.8959235,"domain_scores_codex":[0.940441,0.02063299,0.002726967,0.00621511,0.02534842,0.004635583],"domain_scores_gemma":[0.8428155,0.06803937,0.01046565,0.02529553,0.05001692,0.003367179],"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":[0.0002617376,0.0001282196,0.03486884,0.0005422655,0.0003103373,0.0004211711,0.007243718,0.009794186,0.0009917691,0.5849757,0.1532284,0.2072337],"study_design_scores_gemma":[0.0001815245,0.00006001429,0.03748266,0.001720324,0.0002300144,0.0004586706,0.009059478,0.03619816,0.004527996,0.4127717,0.4969163,0.000393142],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1477482,0.02036931,0.15381,0.3134088,0.005166317,0.0008189502,0.02941377,0.002676487,0.3265882],"genre_scores_gemma":[0.8357624,0.007102059,0.08032048,0.02527059,0.00206865,0.0007313236,0.01860577,0.001250707,0.02888799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1512246,"threshold_uncertainty_score":0.3418224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472327995228694,"score_gpt":0.2173807952109115,"score_spread":0.2026575152586245,"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."}}