{"id":"W1981347521","doi":"10.2139/ssrn.1434685","title":"Tracking Inconsistent Judicial Behavior","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Judicial and Constitutional Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Vector Institute","funders":"","keywords":"Tracking (education); Psychology; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.006974573,0.0003861658,0.0006469135,0.003918799,0.001106182,0.002804431,0.001082214,0.001229909,0.003948395],"category_scores_gemma":[0.05085528,0.0004154013,0.0002094848,0.00282781,0.0005260131,0.001892617,0.001018274,0.001955196,0.001348121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001359337,"about_ca_system_score_gemma":0.001511049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008214859,"about_ca_topic_score_gemma":0.01459973,"domain_scores_codex":[0.9963117,0.001654255,0.0002323667,0.0008709668,0.0007185329,0.0002122228],"domain_scores_gemma":[0.9527999,0.0225357,0.01236675,0.005886134,0.005412899,0.000998685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005056488,0.0004983837,0.8504544,0.00008433677,0.0001321606,0.0001193587,0.001145127,0.005067175,0.003093182,0.01117653,0.006992545,0.1207312],"study_design_scores_gemma":[0.0001515571,0.000628017,0.6083707,0.0002094878,0.0003095167,0.0004451378,0.003055248,0.3159831,0.01118767,0.04164045,0.01790622,0.0001129204],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9641832,0.0003955828,0.01602632,0.0008969377,0.00007882698,0.00009557231,0.002441565,0.0004099593,0.01547205],"genre_scores_gemma":[0.9916363,0.00006827521,0.005452959,0.00009991296,0.00001765511,0.00005656491,0.0007847627,0.00003893174,0.001844535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008214859,"threshold_uncertainty_score":0.03688556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01832388313477816,"score_gpt":0.2978715817693247,"score_spread":0.2795476986345465,"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."}}