{"id":"W2983518626","doi":"10.1503/cmaj.191447","title":"Co-pay cards in Canada: Improving choice or institutionalizing bribes?","year":2019,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Health Canada","keywords":"Key (lock); Competition (biology); Computer science; Business; Operations research; Advertising; Computer security; Engineering","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":[0.00741831,0.0003909403,0.0008101588,0.0009188263,0.01187283,0.008025846,0.003141189,0.02645708,0.01864095],"category_scores_gemma":[0.03914561,0.0003943789,0.0006061727,0.00138512,0.007838118,0.004409303,0.002973678,0.02140043,0.001372488],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07764183,"about_ca_system_score_gemma":0.1714903,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9357819,"about_ca_topic_score_gemma":0.9719012,"domain_scores_codex":[0.9919297,0.001054425,0.0002233888,0.0006449818,0.002612694,0.003534959],"domain_scores_gemma":[0.9789252,0.008264637,0.0009355397,0.0006369036,0.005775827,0.005461878],"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":[0.0001866279,0.00006199689,0.006679778,0.00008546389,0.00003293883,0.0007449151,0.001535056,0.0002922138,0.0002136258,0.160838,0.7828396,0.04648982],"study_design_scores_gemma":[0.0005854727,0.00009240675,0.01640322,0.0009238511,0.0001146789,0.0004954378,0.004038327,0.002894334,0.0006459671,0.09430154,0.8792668,0.0002380293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.005831658,0.002435074,0.0002957902,0.9529546,0.001554393,0.00002866581,0.0001515609,0.0000203066,0.03672785],"genre_scores_gemma":[0.2286681,0.004444189,0.001017556,0.7064682,0.004494826,0.00006599384,0.0001414194,0.0000618944,0.05463779],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9223582,"threshold_uncertainty_score":0.5633335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03412926311961462,"score_gpt":0.2606043335636188,"score_spread":0.2264750704440042,"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."}}