{"id":"W2467680869","doi":"10.3163/1536-5050.104.3.007","title":"Effectiveness of adverse effects search filters: drugs versus medical devices","year":2016,"lang":"en","type":"article","venue":"Journal of the Medical Library Association JMLA","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Agency for Drugs and Technologies in Health","funders":"","keywords":"MEDLINE; Medicine; Adverse effect; Medical record; Search engine indexing; Emergency medicine; Medical emergency; Computer science; Information retrieval; Surgery; Pharmacology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004135916,0.0001578689,0.0004086887,0.0001238634,0.0001433313,0.000007743436,0.0007986847,0.0004577996,0.002953516],"category_scores_gemma":[0.003677978,0.00008650254,0.0003761002,0.0003487411,0.0002003521,0.0007532177,0.0001997173,0.001182555,0.00007104847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001939745,"about_ca_system_score_gemma":0.0008253554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002222139,"about_ca_topic_score_gemma":5.814359e-7,"domain_scores_codex":[0.9945549,0.002788722,0.0006025754,0.0001441663,0.001573937,0.000335697],"domain_scores_gemma":[0.9861575,0.01233445,0.0007043033,0.0001361693,0.0001358536,0.0005317723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01456149,0.003930885,0.7237025,0.001625632,0.007375238,0.0007916015,0.001609202,0.0002890627,0.06026892,0.003949861,0.1031914,0.07870421],"study_design_scores_gemma":[0.04307376,0.0009190356,0.1590716,0.00380689,0.001218895,0.0001499775,0.000407583,0.0006853183,0.4731197,0.001163857,0.3157566,0.0006267437],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971019,0.0002766082,0.00007384558,0.01793313,0.007104631,0.0002310829,0.00004528338,0.00003404558,0.003282354],"genre_scores_gemma":[0.9960779,0.0006889393,0.00002120092,0.001532616,0.0008572075,0.000006989008,0.000003348638,0.00001752026,0.0007942547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5646309,"threshold_uncertainty_score":0.9979579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03733547095465894,"score_gpt":0.4022544177360126,"score_spread":0.3649189467813536,"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."}}