{"id":"W4221067458","doi":"10.12927/hcpol.2022.26732","title":"COVID-19 Vaccine Task Force and Conflicts of Interest","year":2022,"lang":"fr","type":"article","venue":"Healthcare policy","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Task force; Government (linguistics); Task (project management); Coronavirus disease 2019 (COVID-19); Pandemic; Variety (cybernetics); Work (physics); Public relations; Conflict of interest; Political science; Business; Medicine; Public administration; Computer science; Economics; Management; Law; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.06347547,0.001050652,0.001883309,0.004268631,0.01167529,0.008103348,0.004031294,0.01643096,0.01731119],"category_scores_gemma":[0.2250959,0.001334712,0.001450157,0.004098146,0.003875113,0.003377919,0.004861619,0.01766329,0.00862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01729838,"about_ca_system_score_gemma":0.1504846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2016649,"about_ca_topic_score_gemma":0.1953305,"domain_scores_codex":[0.9323246,0.0134297,0.008135132,0.002263595,0.0348711,0.008975915],"domain_scores_gemma":[0.7206391,0.06820026,0.02363062,0.007058209,0.1437741,0.03669769],"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":[0.00003595164,0.00004500006,0.002291797,0.0001764553,0.00001710897,0.0001484445,0.0003550953,0.0001067236,0.00009410929,0.009923087,0.963802,0.02300416],"study_design_scores_gemma":[0.00004090491,0.00003320412,0.004253519,0.001411222,0.00002149324,0.0002744724,0.0004377417,0.0001898256,0.000105889,0.003277651,0.9898864,0.00006761126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001997087,0.01534454,0.002442861,0.8415256,0.03069498,0.001411685,0.003684812,0.0001903579,0.102708],"genre_scores_gemma":[0.06206667,0.05194817,0.02386715,0.6033077,0.04638913,0.00572286,0.01895994,0.0008322148,0.1869063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.983569,"threshold_uncertainty_score":0.4009822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5999997917333858,"score_gpt":0.5987603815212241,"score_spread":0.001239410212161673,"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."}}