{"id":"W3014455110","doi":"10.12927/hcq.2020.26140","title":"Adverse Drug Reactions in Canada in 2009–2018: Insights from the Canada Vigilance Database","year":2020,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Vigilance (psychology); Drug reaction; Database; National database; Adverse drug reaction; Adverse effect; Medicine; Drug; Psychology; Computer science; Pharmacology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001603885,0.0002656685,0.0003304897,0.00005322762,0.0002727386,0.00001012678,0.0004132794,0.0000990262,0.0002559612],"category_scores_gemma":[0.00004415328,0.0002374049,0.00004558276,0.0006122905,0.00005662323,0.0002722762,0.00002795315,0.00177151,0.0000594653],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296191,"about_ca_system_score_gemma":0.007614318,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9988899,"about_ca_topic_score_gemma":0.9999236,"domain_scores_codex":[0.9973905,0.0006014702,0.0006152077,0.0004893055,0.000286343,0.0006171406],"domain_scores_gemma":[0.9982257,0.0006997936,0.0001752343,0.0003212589,0.000054829,0.0005232105],"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":[0.001193987,0.0004430401,0.3348847,0.0004180578,0.0002136461,0.004056323,0.01949957,0.005334365,0.01007415,0.001074694,0.607152,0.01565544],"study_design_scores_gemma":[0.002158136,0.00004639781,0.05874403,0.0001060039,0.00003407414,0.00001136407,0.01329009,0.004827921,0.0007400534,0.0000875425,0.9195085,0.0004458632],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.914606,0.001715068,0.000005333747,0.07787893,0.002272468,0.0006523479,0.001885116,0.00004928565,0.0009354166],"genre_scores_gemma":[0.9538827,0.0003123423,0.00001449117,0.04495468,0.0004182307,0.00008925255,0.0002183473,0.00002127601,0.00008869406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3123565,"threshold_uncertainty_score":0.9980116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0747633694219078,"score_gpt":0.3690539890223339,"score_spread":0.2942906196004261,"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."}}