{"id":"W1994945512","doi":"10.1503/cmaj.050812","title":"The Chaoulli challenge: getting a grip on waiting lists","year":2005,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supreme court; Law; Health insurance; Supreme Court Decisions; Medicine; Operations research; Computer science; Political science; Health care; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004236232,0.00008432624,0.0001550539,0.0001478498,0.0007658469,0.0001630208,0.0002489176,0.0001843375,0.0008395896],"category_scores_gemma":[0.00250087,0.00007690122,0.00007810745,0.0001174306,0.00001761281,0.00009682024,0.00001570826,0.0007751117,0.001070099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00140624,"about_ca_system_score_gemma":0.0003510041,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005939003,"about_ca_topic_score_gemma":0.06245199,"domain_scores_codex":[0.9984071,0.00006059489,0.0005826292,0.0001439855,0.000210222,0.000595497],"domain_scores_gemma":[0.9984179,0.000205075,0.0003666969,0.0001045501,0.00006283574,0.0008429081],"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":[0.000002148972,0.00002050303,0.002888024,0.000007335779,0.00006744745,0.00003964332,0.0008188206,0.00002113561,4.193271e-8,0.5584112,0.09289139,0.3448323],"study_design_scores_gemma":[0.0002342642,0.00002312854,0.00317818,0.00002415853,0.000001293936,0.00001212048,0.0001541163,0.002186397,4.167609e-7,0.003650889,0.9904442,0.00009083989],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01665455,0.001374364,0.00008334743,0.8765889,0.001122939,0.0001067893,0.00002306127,0.00001859054,0.1040274],"genre_scores_gemma":[0.9550744,0.001179339,0.00005196712,0.03671483,0.004900364,0.000009558711,0.000002094871,0.00001469646,0.002052751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9384199,"threshold_uncertainty_score":0.9997077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03000992574971069,"score_gpt":0.2544252861341242,"score_spread":0.2244153603844135,"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."}}