{"id":"W7018571700","doi":"","title":"Diversity, Transparency & Inclusion in Canada’s Judiciary","year":2016,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Discrimination and Equality Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Prime minister; Inclusion (mineral); Government (linguistics); Diversity (politics); Judicial review; Prime (order theory)","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":[0.005268739,0.0002654909,0.0003679987,0.002229237,0.04090639,0.01331711,0.001937283,0.004101279,0.005630271],"category_scores_gemma":[0.014621,0.0003775666,0.0004315554,0.004358614,0.01200337,0.003299984,0.005378623,0.007865588,0.0003094244],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.184891,"about_ca_system_score_gemma":0.2491241,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9867134,"about_ca_topic_score_gemma":0.9948415,"domain_scores_codex":[0.9850669,0.00160733,0.0002637933,0.0008567672,0.00628569,0.005919547],"domain_scores_gemma":[0.9894698,0.002015047,0.0006096204,0.0003623826,0.003340626,0.004202583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003318444,0.00002394244,0.007144649,0.0001116833,0.00001747565,0.000436315,0.01656333,0.0008271462,0.0003289366,0.8748943,0.0603549,0.03926422],"study_design_scores_gemma":[0.00003422011,0.0000430399,0.04664798,0.0007388117,0.00003391375,0.0001692574,0.02016982,0.001302325,0.0005730707,0.08431834,0.8457495,0.0002197884],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1271673,0.0137835,0.004989902,0.3285266,0.001321986,0.0001425882,0.0005364589,0.0001048741,0.5234268],"genre_scores_gemma":[0.9313408,0.002531349,0.002441888,0.02162717,0.0002522467,0.00003338,0.0001130623,0.00003193427,0.04162813],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.184891,"threshold_uncertainty_score":0.9454109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03906880506451824,"score_gpt":0.2900579733840194,"score_spread":0.2509891683195011,"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."}}