{"id":"W7115820414","doi":"","title":"Canadian Health Insurance","year":2005,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health insurance; Income protection insurance; General insurance; Insurance policy; Government (linguistics); Casualty insurance","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001461053,0.0006536884,0.0008823019,0.004243594,0.004663737,0.004695873,0.001251127,0.001740095,0.3773618],"category_scores_gemma":[0.007337486,0.0006274012,0.0007192817,0.007677167,0.0006560454,0.00116997,0.001119328,0.001956721,0.07311242],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04674656,"about_ca_system_score_gemma":0.1032036,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9472803,"about_ca_topic_score_gemma":0.974674,"domain_scores_codex":[0.9970964,0.0001046933,0.0000688556,0.0002504795,0.001919858,0.0005596599],"domain_scores_gemma":[0.9945252,0.0003470672,0.00009248588,0.0002283978,0.003610284,0.0011966],"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":[0.000009226973,0.000005417216,0.0004442183,0.00005150394,0.000003452468,0.000008939661,0.00005933084,0.00003732895,0.00001697927,0.008576536,0.9725485,0.01823854],"study_design_scores_gemma":[0.000006760629,0.000003537697,0.006777612,0.00009866558,0.000005153448,0.0000131643,0.0001092151,0.00009168559,0.00003294505,0.0005679968,0.992282,0.00001138687],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001912494,0.007163925,0.0003461152,0.02634434,0.002278235,0.0001790833,0.108919,0.0004325974,0.8524241],"genre_scores_gemma":[0.01474863,0.006147207,0.0007893004,0.001884118,0.0002945657,0.00008279223,0.02117136,0.000202508,0.9546794],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9532534,"threshold_uncertainty_score":0.8881178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02658028212464711,"score_gpt":0.2235536814026031,"score_spread":0.196973399277956,"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."}}