{"id":"W2119463447","doi":"10.12927/hcpol.2005.17570","title":"Public Drug Plan Coverage for Children Across Canada: A Portrait of Too Many Colours","year":2005,"lang":"en","type":"article","venue":"Healthcare policy","topic":"Pharmaceutical studies and practices","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"Canadian Institutes of Health Research; Hospital for Sick Children","keywords":"Biostatistics; Public health; Health care; Portrait; Clinical epidemiology; Library science; Sociology; Political science; Public policy; Health policy; Epidemiology; Social science; Medicine; History; Law; Nursing; Art history","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005650513,0.0002406408,0.0001783011,0.001812379,0.002930617,0.002332956,0.0007432821,0.000349947,0.004051661],"category_scores_gemma":[0.002038846,0.0001298163,0.0003396829,0.005454697,0.00200485,0.0006620614,0.0007918774,0.0009234172,0.0001824896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06625085,"about_ca_system_score_gemma":0.08690773,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953254,"about_ca_topic_score_gemma":0.9976261,"domain_scores_codex":[0.9986155,0.00008726557,0.00003606116,0.0000874551,0.0007989086,0.000374835],"domain_scores_gemma":[0.9980887,0.0001486135,0.0001992123,0.00006783186,0.000937963,0.0005578093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001884397,0.00008536081,0.3401995,0.0006338642,0.0001410139,0.00117904,0.01696678,0.004610498,0.001389396,0.1069178,0.1804836,0.3472046],"study_design_scores_gemma":[0.00002469371,0.0000521341,0.5986139,0.0005584152,0.0000688673,0.0006071357,0.009286218,0.002066133,0.0002654963,0.004021422,0.3843742,0.00006141592],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.45374,0.04057168,0.005784583,0.1307708,0.0006269176,0.0002700255,0.01532796,0.000397157,0.3525108],"genre_scores_gemma":[0.9629261,0.01447479,0.00241063,0.004337814,0.00008169909,0.00005082099,0.001400425,0.00005124005,0.01426644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06625085,"threshold_uncertainty_score":0.4806858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09830569848663576,"score_gpt":0.4162963927837014,"score_spread":0.3179906942970656,"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."}}