{"id":"W4366997886","doi":"10.18332/tpc/162419","title":"No government is immune from tobacco industry interference: Lessons from Canada’s COVID-19 vaccine collaboration with Philip Morris","year":2023,"lang":"en","type":"article","venue":"Tobacco Prevention & Cessation","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Government (linguistics); Virology; Tobacco industry; Medicine; Internal medicine","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":[0.01772533,0.0006668612,0.0008316071,0.001278196,0.03762261,0.02110964,0.004377022,0.01660254,0.01055675],"category_scores_gemma":[0.03392589,0.0006918335,0.001047297,0.001833884,0.01913131,0.00857104,0.008432982,0.02538543,0.001305849],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.117397,"about_ca_system_score_gemma":0.4286466,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9653996,"about_ca_topic_score_gemma":0.9844513,"domain_scores_codex":[0.973339,0.005672862,0.0003913858,0.001502552,0.007121996,0.01197229],"domain_scores_gemma":[0.9353298,0.01406875,0.00147,0.0008699443,0.01497597,0.03328554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001664449,0.0001824341,0.007823509,0.0004673466,0.0000804565,0.001628856,0.01976181,0.0004226581,0.0003020301,0.09357297,0.7879537,0.08763774],"study_design_scores_gemma":[0.0001770906,0.0001707314,0.008443697,0.002455992,0.0001108597,0.00049269,0.0450324,0.0004297667,0.0003566216,0.03030461,0.9118224,0.0002030558],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005504045,0.01017065,0.0002334208,0.9535431,0.002013153,0.00003466263,0.00006926073,0.00002979049,0.028402],"genre_scores_gemma":[0.2521782,0.03087752,0.001460911,0.6849127,0.001788352,0.0000966357,0.0001982807,0.0001368433,0.02835063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.882603,"threshold_uncertainty_score":0.8517786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04216834577708401,"score_gpt":0.317072637262177,"score_spread":0.274904291485093,"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."}}