{"id":"W1995160040","doi":"10.1080/10543406.2014.901338","title":"Statistical Methods for Active Pharmacovigilance, With Applications to Diabetes Drugs","year":2014,"lang":"en","type":"article","venue":"Journal of Biopharmaceutical Statistics","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pharmacovigilance; Polypharmacy; Medicine; Adverse effect; Drug reaction; Adverse drug reaction; Drug; Pharmacoepidemiology; Intensive care medicine; Pharmacology; Medical prescription","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1193573,0.002356635,0.003293333,0.006865901,0.001529006,0.003085924,0.003765255,0.002846332,0.008653058],"category_scores_gemma":[0.3770956,0.001513861,0.004932482,0.00853362,0.004289047,0.003347056,0.003491201,0.008493219,0.001932604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509846,"about_ca_system_score_gemma":0.005201146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002711787,"about_ca_topic_score_gemma":0.002153877,"domain_scores_codex":[0.830196,0.1472478,0.00713335,0.004663728,0.01013201,0.0006270435],"domain_scores_gemma":[0.396535,0.5561126,0.01322147,0.02448073,0.008462613,0.001187463],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001040556,0.0005398549,0.0228019,0.004134097,0.006910657,0.0009097295,0.001595549,0.03224139,0.002088198,0.3519184,0.06309802,0.5127217],"study_design_scores_gemma":[0.0006775978,0.001038065,0.01029948,0.00129651,0.0009289059,0.001085977,0.0004574222,0.3302363,0.00176349,0.5770584,0.07490099,0.000256928],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001072905,0.0007369345,0.9943112,0.0009107711,0.0003241303,0.0005393397,0.0006079603,0.001087711,0.0004090621],"genre_scores_gemma":[0.02965303,0.0006707048,0.9609352,0.0007310339,0.00077337,0.005349725,0.0006514711,0.0004976724,0.000737807],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8806427,"threshold_uncertainty_score":0.6312292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09100574465620725,"score_gpt":0.5203279639654611,"score_spread":0.4293222193092538,"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."}}