{"id":"W7074018611","doi":"","title":"Private Profits versus Public Policy: The Pharmaceutical Industry and the Canadian State","year":2023,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pharmaceutical industry; State (computer science); Drug industry; Private sector; Public sector; Government (linguistics); Key (lock); Public policy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004688019,0.0004618488,0.0007310654,0.002620758,0.01298007,0.01753126,0.001955401,0.006299151,0.01517146],"category_scores_gemma":[0.01720649,0.0004108049,0.0005607554,0.006785081,0.01776225,0.006696225,0.002801481,0.005113921,0.0003597034],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2267382,"about_ca_system_score_gemma":0.2784589,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947217,"about_ca_topic_score_gemma":0.9970451,"domain_scores_codex":[0.9954194,0.0007533834,0.00006543477,0.0003117957,0.001476373,0.001973632],"domain_scores_gemma":[0.9910049,0.003552465,0.0005078737,0.000240863,0.002771257,0.001922664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000827362,0.00004059179,0.004139725,0.00007669374,0.00002268665,0.0000754185,0.002429611,0.001298431,0.00007304028,0.9496661,0.02683793,0.01525703],"study_design_scores_gemma":[0.0001572269,0.00005573907,0.05042471,0.0009326512,0.0003064623,0.0000942413,0.03974887,0.006244148,0.0005109662,0.5697423,0.3315178,0.0002649576],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1118203,0.03020587,0.001414251,0.4378199,0.0006655778,0.00006327205,0.001006698,0.00005225784,0.4169518],"genre_scores_gemma":[0.9359282,0.01514534,0.0005571713,0.008378407,0.0004682908,0.00001781802,0.0001411828,0.00003345018,0.03933025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7732618,"threshold_uncertainty_score":0.8968741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08471333506200247,"score_gpt":0.2492476119109939,"score_spread":0.1645342768489914,"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."}}