{"id":"W3135769848","doi":"10.1002/pds.5217","title":"Global <scp>COVID</scp>‐19 pandemic and reporting behavior ‐ An analysis of the Food and Drug Administration adverse events reporting system","year":2021,"lang":"en","type":"article","venue":"Pharmacoepidemiology and Drug Safety","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Fonds de Recherche du Québec - Santé; Foundation for Anesthesia Education and Research","keywords":"Adverse Event Reporting System; Pandemic; Medicine; Outbreak; Adverse effect; Food and drug administration; Coronavirus disease 2019 (COVID-19); Chloroquine; Confidence interval; Environmental health; Internal medicine; Virology; Disease; Infectious disease (medical specialty); Malaria; Immunology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.004119674,0.0002819868,0.0002612214,0.002582125,0.0002521944,0.0007378191,0.0004600353,0.0003277114,0.001081342],"category_scores_gemma":[0.01268468,0.0001445034,0.000711508,0.00401913,0.0003221363,0.0008760957,0.0006489522,0.0004423253,0.000304998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001359208,"about_ca_system_score_gemma":0.001314627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04172811,"about_ca_topic_score_gemma":0.03105047,"domain_scores_codex":[0.9969524,0.0009294598,0.0006325171,0.0004146274,0.0007458739,0.0003251228],"domain_scores_gemma":[0.9754101,0.0031714,0.01694642,0.0009168159,0.002817616,0.0007375412],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005118466,0.00001026884,0.9976493,0.000014325,0.00004141184,0.00001840256,0.00008552066,0.00009209374,0.00007600883,0.00001881783,0.0004220788,0.001520653],"study_design_scores_gemma":[0.000001715171,0.00002988689,0.9988099,0.00001172489,0.000008816058,0.00006038948,0.0002522403,0.0003412339,0.00007554871,0.000006984246,0.00039716,0.000004363316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870189,0.000355064,0.0003919023,0.0002569537,0.0000158628,0.00009237232,0.01032434,0.00004082775,0.00150358],"genre_scores_gemma":[0.9906589,0.0001678607,0.0003066713,0.0001027495,0.00001701911,0.00005659707,0.008485263,0.00001153578,0.000193476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9958803,"threshold_uncertainty_score":0.08297044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1684249638764256,"score_gpt":0.4738534381253598,"score_spread":0.3054284742489343,"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."}}