{"id":"W2793652288","doi":"10.1186/s40545-018-0132-3","title":"Pharmaceutical company spending on research and development and promotion in Canada, 2013-2016: a cohort analysis","year":2018,"lang":"en","type":"article","venue":"Journal of Pharmaceutical Policy and Practice","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University Health Network","funders":"Innovative Medicines Canada","keywords":"Promotion (chess); Context (archaeology); Marketing; Business; Pharmaceutical industry; Pharmacy; Advertising; Medicine; Family medicine; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005262543,0.0001969748,0.0005978153,0.001049235,0.0002214493,0.0001543174,0.0001702803,0.00009410401,0.0002103621],"category_scores_gemma":[0.00122411,0.0001975433,0.00004364193,0.0006091133,0.0003405582,0.0005239978,0.0001471151,0.0009346959,0.00004044935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006402356,"about_ca_system_score_gemma":0.0004598801,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04678788,"about_ca_topic_score_gemma":0.01601371,"domain_scores_codex":[0.9976052,0.0002422872,0.001027384,0.0003756362,0.0001639631,0.0005855219],"domain_scores_gemma":[0.9969586,0.001722753,0.0004023285,0.0001116926,0.0001139172,0.0006906864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004902512,0.001896329,0.5163125,0.0003561381,0.004175717,0.0003790974,0.003700642,0.0001192468,0.0005894303,0.4001236,0.007991631,0.05945318],"study_design_scores_gemma":[0.002865712,0.0004353147,0.1823155,0.00006583527,0.0001903267,0.0003899842,0.0002642097,0.01405037,0.0008758552,0.007360653,0.7907231,0.0004631277],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9457397,0.002694692,0.0001561443,0.03431809,0.0002175753,0.0002763994,0.00004555336,0.000005324805,0.01654648],"genre_scores_gemma":[0.9911141,0.004440947,0.000660084,0.003151864,0.0005345743,0.000004764254,0.000001520762,0.0000164363,0.00007574408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7827315,"threshold_uncertainty_score":0.9595596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2866072893969136,"score_gpt":0.4607675445148509,"score_spread":0.1741602551179373,"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."}}