{"id":"W4284681137","doi":"10.2196/40456","title":"Automatic Detection of Adverse Drug Events in Geriatric Care: Study Proposal","year":2022,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universität Zürich; Centre Hospitalier Universitaire Vaudois; Université de Genève; Université de Lausanne; Hôpitaux Universitaires de Genève","keywords":"Drug; Medicine; Adverse effect; Computer science; Pharmacology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.008210159,0.0009350187,0.0004942882,0.002143579,0.0007212682,0.001337856,0.001158295,0.001022375,0.003880705],"category_scores_gemma":[0.01820686,0.0003836939,0.001597892,0.001591607,0.0007291517,0.001067656,0.001295249,0.0003616125,0.001038165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008777969,"about_ca_system_score_gemma":0.003218787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005772502,"about_ca_topic_score_gemma":0.003570141,"domain_scores_codex":[0.9944115,0.002957119,0.0007213047,0.00103286,0.0006541251,0.0002230701],"domain_scores_gemma":[0.9850032,0.008302273,0.001958194,0.001299673,0.002795857,0.0006408623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003741099,0.002486197,0.9034039,0.001620562,0.0006362926,0.0004878178,0.0006814227,0.002614543,0.001031165,0.001330522,0.003923522,0.0780431],"study_design_scores_gemma":[0.007374716,0.01590806,0.8686235,0.001030418,0.003192212,0.004246652,0.003268715,0.06309867,0.005531515,0.004043779,0.0233944,0.0002874435],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.8993372,0.001801428,0.03766815,0.001139024,0.0001677573,0.02994468,0.02354427,0.0004946988,0.005902768],"genre_scores_gemma":[0.9007393,0.001096521,0.04993691,0.0004721714,0.0003223715,0.02811417,0.01798086,0.00003142556,0.001306339],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.008210159,"threshold_uncertainty_score":0.04341996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2466106925840252,"score_gpt":0.5997845955250113,"score_spread":0.3531739029409861,"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."}}