{"id":"W272909804","doi":"","title":"Quality v. equality: the divided court in Chaoulli v. Quebec.","year":2006,"lang":"en","type":"article","venue":"PubMed","topic":"Multicultural Socio-Legal Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Law; Supreme court; Charter; Political science; Legislation; Jurisdiction","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003325324,0.0001253866,0.0002241678,0.00002272834,0.0007114249,0.0001427786,0.0003489499,0.00009882922,0.0000429697],"category_scores_gemma":[0.0008620776,0.00008123896,0.0000953096,0.0003501216,0.0005575844,0.0002089419,0.00009635961,0.0001812173,0.00003210934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004751215,"about_ca_system_score_gemma":0.0000387113,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.653003,"about_ca_topic_score_gemma":0.7142308,"domain_scores_codex":[0.9973549,0.0007869141,0.000344907,0.0002380044,0.0006111538,0.0006641783],"domain_scores_gemma":[0.9990588,0.0004818904,0.000125217,0.00017554,0.00008040571,0.000078113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003259719,0.0002707736,0.5376503,0.00002735344,0.00006173781,0.000005888425,0.03762014,0.00002681994,0.00001525314,0.2897283,0.02981626,0.1047446],"study_design_scores_gemma":[0.000196405,0.000001038882,0.8408591,0.000002246319,0.000005124577,4.956561e-8,0.003966087,0.000001320844,0.00001253665,0.003333577,0.1514999,0.0001225459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8213333,0.0007980056,0.00002341585,0.07761056,0.000520976,0.001636186,0.00001302502,0.0001724342,0.09789211],"genre_scores_gemma":[0.9839441,0.00006137769,0.00001872791,0.0004639246,0.0004991583,0.001025279,0.000003930716,0.000006704309,0.01397678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3032088,"threshold_uncertainty_score":0.5471777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08115706378064698,"score_gpt":0.3317319427195077,"score_spread":0.2505748789388607,"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."}}