{"id":"W2288154790","doi":"10.21450/rahis.v12i1.2574","title":"Health insurance in Canada and Brazil, access to drugs, co-payment cards, loyalty programs, brand name drugs","year":2015,"lang":"en","type":"article","venue":"RAHIS - Revista de Administração Hospitalar e Inovação em Saúde","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École Nationale d'Administration Publique","funders":"","keywords":"Business; Brand names; Payment; Generic drug; Loyalty; Pharmaceutical industry; Brand loyalty; Marketing; Typology; Actuarial science; Drug; Public economics; Finance; Economics; Pharmacology; Medicine","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":[0.0007751664,0.0003089837,0.0004844977,0.003625707,0.002675831,0.002947901,0.0005843427,0.0007291471,0.007844495],"category_scores_gemma":[0.00399556,0.0001600646,0.0005686962,0.007681405,0.001545166,0.001106781,0.001039903,0.001206257,0.0001841171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03253438,"about_ca_system_score_gemma":0.03764245,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9823778,"about_ca_topic_score_gemma":0.9855704,"domain_scores_codex":[0.9988928,0.0001171898,0.00003857573,0.00009958166,0.0004091433,0.0004426943],"domain_scores_gemma":[0.997656,0.0006296918,0.0006102786,0.00005514278,0.0005773419,0.0004716371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00007438748,0.0001224406,0.2120075,0.0006899051,0.0001930212,0.000883626,0.002524796,0.00296092,0.0003404965,0.6452662,0.0387187,0.09621796],"study_design_scores_gemma":[0.00008913359,0.00008278094,0.5999513,0.001754198,0.0003878601,0.000873481,0.008668282,0.007000932,0.0006672256,0.05595216,0.3244273,0.0001452771],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5225035,0.07122745,0.006466251,0.07949185,0.0004379605,0.0003605239,0.02698297,0.0002001538,0.2923293],"genre_scores_gemma":[0.9553593,0.01923084,0.002565321,0.001569312,0.0001184309,0.00007505861,0.003487609,0.00002140446,0.0175728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03253438,"threshold_uncertainty_score":0.2360545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04674130838534073,"score_gpt":0.3254032239373113,"score_spread":0.2786619155519706,"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."}}