{"id":"W3009463514","doi":"10.1101/2020.02.17.20024232","title":"Leading causes of mortality and prescription drug coverage in Canada and New Zealand","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fraser Institute; Canadian Institute for Health Information","funders":"Shire Canada; Merck Sharp and Dohme; Victoria University of Wellington","keywords":"Formulary; Reimbursement; Pharmaceutical Benefits Scheme; Medicine; Government (linguistics); Medical prescription; Health care; Listing (finance); Business; Family medicine; Medical emergency; Economic growth; Finance","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001289153,0.0004814032,0.0005349808,0.004621698,0.000986635,0.001628581,0.0009297122,0.0004172181,0.004288206],"category_scores_gemma":[0.006181824,0.0002780941,0.001534592,0.007578672,0.0005832104,0.0005761824,0.001275448,0.001124966,0.0002766372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04146055,"about_ca_system_score_gemma":0.04735306,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950826,"about_ca_topic_score_gemma":0.9926136,"domain_scores_codex":[0.9980667,0.0001350057,0.0001691425,0.000184479,0.0008332063,0.0006114272],"domain_scores_gemma":[0.9945155,0.0003208951,0.001625003,0.00009080624,0.002146829,0.001300973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001893193,0.00005813308,0.9328954,0.0005491422,0.0005756053,0.0003094766,0.0004392595,0.0016557,0.00008952762,0.002941701,0.03486826,0.02542847],"study_design_scores_gemma":[0.00002660324,0.00001550277,0.9912474,0.0002488162,0.00007203881,0.0001016358,0.0004909733,0.001217476,0.00004146383,0.0002527374,0.00626156,0.00002372223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6838725,0.03643012,0.001058586,0.01742676,0.0003106876,0.0002886812,0.2258149,0.0001433945,0.03465435],"genre_scores_gemma":[0.94665,0.01180226,0.0008490105,0.0007094506,0.00008447183,0.00009501863,0.03585015,0.00003454849,0.003925053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04146055,"threshold_uncertainty_score":0.3008187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3395841306606592,"score_gpt":0.3878675089248943,"score_spread":0.04828337826423507,"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."}}