{"id":"W3031412772","doi":"10.1186/s40545-020-00219-1","title":"Amid COVID-19: the importance of developing an positive adverse drug reaction (ADR) and medical device incident (MDI) reporting culture for Global Health and public safety","year":2020,"lang":"en","type":"article","venue":"Journal of Pharmaceutical Policy and Practice","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Misinformation; Medicine; Public health; Health care; Pharmacovigilance; Drug reaction; Pharmacy; Patient safety; Medical emergency; Pandemic; Adverse drug reaction; Coronavirus disease 2019 (COVID-19); Family medicine; Adverse effect; Nursing; Drug; Psychiatry; Pharmacology; Political science; Internal medicine","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005657187,0.0002462505,0.000508237,0.00007625968,0.000734503,0.00004355223,0.0002097176,0.0002008487,0.00002963861],"category_scores_gemma":[0.02490812,0.0001861103,0.0001056686,0.0003928189,0.0004452575,0.001256863,0.0001373536,0.001353006,8.780336e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003298351,"about_ca_system_score_gemma":0.002450414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009079076,"about_ca_topic_score_gemma":0.0000446923,"domain_scores_codex":[0.9960039,0.001309017,0.001492545,0.000320899,0.0004249903,0.0004486473],"domain_scores_gemma":[0.9909828,0.003329874,0.002913174,0.0000968091,0.0004143626,0.002262992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.07031954,0.004034154,0.1691148,0.006528207,0.008244663,0.003078363,0.08558873,0.0008139279,0.05599457,0.2553166,0.04612717,0.2948392],"study_design_scores_gemma":[0.005769077,0.0004920029,0.003564904,0.00008693679,0.0007588929,0.008015563,0.01300697,0.003788468,0.001213583,0.00175829,0.9611692,0.0003761493],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3595943,0.007306848,0.003285245,0.6268229,0.0005553786,0.0009454882,0.0001895503,0.00005009181,0.001250134],"genre_scores_gemma":[0.8189022,0.01478438,0.0008146471,0.1644793,0.000967088,0.000008941312,0.00001577807,0.00001434708,0.00001328087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.915042,"threshold_uncertainty_score":0.9833055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2321798148238579,"score_gpt":0.5698670491434951,"score_spread":0.3376872343196372,"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."}}