{"id":"W10959497","doi":"10.2139/ssrn.1470703","title":"A Content Analysis of Supreme Court of Canada Judgments: Preliminary Observations","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Judicial and Constitutional Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ontario Institute of Technology; York University","funders":"","keywords":"Supreme court; Law; Content (measure theory); Content analysis; Political science; Psychology; Mathematics; Sociology; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.008792622,0.00026495,0.0004686943,0.01368274,0.009721872,0.005153241,0.00130537,0.0008615218,0.006312007],"category_scores_gemma":[0.1186333,0.0003469265,0.0003998059,0.02300571,0.003585289,0.002695034,0.002094866,0.001156497,0.0006892906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02675455,"about_ca_system_score_gemma":0.0305791,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6580331,"about_ca_topic_score_gemma":0.7683768,"domain_scores_codex":[0.9850153,0.003460897,0.0007159945,0.0008878334,0.008474749,0.001445164],"domain_scores_gemma":[0.8534485,0.06862054,0.008857413,0.003421383,0.06330992,0.002342186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001734147,0.0008333841,0.4784195,0.0008232395,0.0001887291,0.001005463,0.2976857,0.001185112,0.01095723,0.06253539,0.02816642,0.1164657],"study_design_scores_gemma":[0.00005500743,0.0001172028,0.821319,0.0002991152,0.0001570425,0.0001710241,0.1279545,0.002711564,0.004789009,0.008374636,0.03396091,0.00009097398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9293857,0.0002913347,0.002276565,0.001106842,0.00004539331,0.000648336,0.003990387,0.00006309466,0.06219246],"genre_scores_gemma":[0.9879878,0.0002304194,0.002980414,0.0002732665,0.00003882062,0.0004277744,0.002249222,0.00009780308,0.005714468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3419669,"threshold_uncertainty_score":0.6879617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04380172547238111,"score_gpt":0.2737753492614412,"score_spread":0.2299736237890601,"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."}}