{"id":"W3042380614","doi":"10.1007/s40290-020-00345-w","title":"Using Data from the Canadian Post-marketing Spontaneous Pharmacovigilance System for Drug Safety Research: A Feasibility Study","year":2020,"lang":"en","type":"article","venue":"Pharmaceutical Medicine","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec; Université du Québec à Trois-Rivières","funders":"","keywords":"Pharmacovigilance; Medicine; Drug reaction; Postmarketing surveillance; Adverse drug reaction; Data quality; Pharmacoepidemiology; Descriptive statistics; Drug; Pharmacology; Database; Adverse effect; Business; Marketing; Computer science; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01225184,0.0005513871,0.0008079769,0.0001557443,0.002863307,0.00007708903,0.002443884,0.0002275283,0.001765512],"category_scores_gemma":[0.004982243,0.0004129729,0.0001397403,0.00100571,0.0009477157,0.0002878637,0.0006165479,0.003517948,0.0002360496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020505,"about_ca_system_score_gemma":0.00114917,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0221351,"about_ca_topic_score_gemma":0.01914543,"domain_scores_codex":[0.9903736,0.004470561,0.001063095,0.00150406,0.0009458181,0.001642826],"domain_scores_gemma":[0.9845412,0.011254,0.000232482,0.001022888,0.0006823107,0.00226708],"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":[0.07691604,0.006045224,0.1311484,0.002184109,0.006858584,0.01264101,0.03454401,0.005952808,0.338078,0.001281775,0.3453369,0.03901311],"study_design_scores_gemma":[0.01167273,0.0002931262,0.001733162,0.0001855469,0.001863503,0.0002100304,0.0125665,0.2699949,0.002272251,0.00003783334,0.6984893,0.0006811232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8548635,0.004121116,0.0002515386,0.1113162,0.004994198,0.009669793,0.008458084,0.0005520931,0.00577355],"genre_scores_gemma":[0.9715353,0.0001692032,0.0001451384,0.02262858,0.004744625,0.0001371982,0.0004829902,0.00008231263,0.0000746677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3531525,"threshold_uncertainty_score":0.9998322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7319876051940398,"score_gpt":0.5953530109512966,"score_spread":0.1366345942427433,"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."}}