{"id":"W2530103572","doi":"10.1177/0840470416658907","title":"Universal prescription drug coverage in Canada","year":2016,"lang":"en","type":"review","venue":"Healthcare Management Forum","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of British Columbia","funders":"","keywords":"Medical prescription; Incentive; Politics; Public administration; Public policy; Political science; Universal design; Business; Public economics; Medicine; Economics; Law; Computer science; Nursing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002484382,0.0004829459,0.0009367419,0.003249174,0.001112618,0.002098523,0.001102132,0.0008611849,0.004154683],"category_scores_gemma":[0.007128617,0.0002151885,0.000685073,0.007948914,0.001359254,0.0008467412,0.0009950835,0.001229177,0.0002204827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03904666,"about_ca_system_score_gemma":0.1096334,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9414052,"about_ca_topic_score_gemma":0.9488344,"domain_scores_codex":[0.998038,0.0002310601,0.0001291333,0.0001711608,0.001154437,0.0002762494],"domain_scores_gemma":[0.996366,0.0008274994,0.0004178511,0.00007550853,0.0019593,0.0003538034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001085245,0.00006108753,0.0072258,0.02565306,0.0003815524,0.0003049684,0.0004893237,0.001129083,0.0002583353,0.04480863,0.09224676,0.8273329],"study_design_scores_gemma":[0.00004583524,0.00005347941,0.04975917,0.02969038,0.0006388031,0.0005959034,0.0005139319,0.0006385006,0.0004468187,0.004969202,0.9125796,0.00006835869],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001829575,0.9780957,0.0001744337,0.005834379,0.0001685899,0.00002444588,0.0006235314,0.0000162522,0.01323308],"genre_scores_gemma":[0.05133842,0.9448468,0.0004074198,0.001818021,0.0001371789,0.00002247133,0.0003325283,0.000007458952,0.001089649],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.05859476,"threshold_uncertainty_score":0.2833047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04669317873099981,"score_gpt":0.2763930758891918,"score_spread":0.2296998971581919,"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."}}