{"id":"W2553645262","doi":"10.1182/blood.v114.22.810.810","title":"Financial Conflicts of Interest Are Common and Frequently Influence Conclusions of Economic Analyses Presented at the American Society of Hematology Annual Meeting.","year":2009,"lang":"en","type":"article","venue":"Blood","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conflict of interest; Reimbursement; Pharmaceutical industry; Liberian dollar; Product (mathematics); Gross domestic product; Economic impact analysis; Health care; Business; Medicine; Family medicine; Finance; Economics; Economic growth","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":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.1822333,0.001135538,0.002837208,0.01006778,0.001868236,0.006450011,0.001956909,0.005844298,0.03861599],"category_scores_gemma":[0.5651211,0.0008899506,0.002356433,0.01716031,0.002116265,0.005351313,0.00370909,0.004140031,0.005135573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004626357,"about_ca_system_score_gemma":0.005830003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001107466,"about_ca_topic_score_gemma":0.002113086,"domain_scores_codex":[0.7248618,0.1986428,0.04418795,0.00421981,0.02601763,0.00207005],"domain_scores_gemma":[0.233902,0.670644,0.05027203,0.01147448,0.03018584,0.003521657],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.004511292,0.0002787601,0.04859662,0.05278577,0.009611373,0.002011579,0.002640646,0.001263397,0.0009463549,0.01922467,0.456345,0.4017845],"study_design_scores_gemma":[0.002138167,0.0005803801,0.04595258,0.1188925,0.007312924,0.001963346,0.003381151,0.004004002,0.002378592,0.06166462,0.7512995,0.0004322644],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.05376499,0.4106563,0.02783246,0.2700683,0.04802704,0.01002399,0.02171086,0.0003253111,0.1575907],"genre_scores_gemma":[0.5596445,0.2314152,0.051999,0.07903375,0.02763172,0.01819787,0.009357829,0.0007494792,0.02197067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9941557,"threshold_uncertainty_score":0.9637536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3735515207129584,"score_gpt":0.5383786678802222,"score_spread":0.1648271471672637,"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."}}