{"id":"W4231885791","doi":"10.3138/utlj.4263","title":"‘Writing separately’","year":2017,"lang":"en","type":"article","venue":"University of Toronto Law Journal","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dissent; Dissenting opinion; Political science; Law; Concurrence; Variety (cybernetics); First amendment; Economic Justice; Supreme court; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.008155852,0.0007560584,0.0005632033,0.001129892,0.005479821,0.006529626,0.001289056,0.003415001,0.07782862],"category_scores_gemma":[0.04620257,0.000418298,0.0005849275,0.001089742,0.00488577,0.006961751,0.007410323,0.008324961,0.0528793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001776625,"about_ca_system_score_gemma":0.004526236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001376145,"about_ca_topic_score_gemma":0.002981917,"domain_scores_codex":[0.9864139,0.005272837,0.0009715427,0.001959798,0.004026349,0.001355497],"domain_scores_gemma":[0.9753092,0.009716239,0.001558014,0.004791064,0.005736346,0.002889239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005952952,0.00004067714,0.0005136022,0.0002020177,0.0000185756,0.0005042489,0.0195188,0.00007863309,0.001566371,0.2933788,0.5651353,0.1189834],"study_design_scores_gemma":[0.000005050516,0.00001842546,0.000249317,0.0001076735,0.000005732254,0.0002747742,0.0018907,0.00007925239,0.0005107073,0.01775482,0.9790856,0.00001797735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.008700209,0.002680092,0.03005194,0.08415237,0.05656995,0.000165308,0.0003169286,0.0008566063,0.8165066],"genre_scores_gemma":[0.1310402,0.00174361,0.02039876,0.0506992,0.01588047,0.0002503883,0.000494034,0.001426058,0.7780672],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.07782862,"threshold_uncertainty_score":0.2603627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04536705882565019,"score_gpt":0.3641999661543541,"score_spread":0.318832907328704,"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."}}