{"id":"W2558732480","doi":"10.1300/j381v10n03_08","title":"Canadian Adverse Drug Reaction Monitoring Program (CADRMP)—Adverse Reaction (AR) Database <http://www.hc-sc.gc.ca/dhp-mps/medeff/databasdon/index_e.html>","year":2006,"lang":"en","type":"article","venue":"Journal of Consumer Health on the Internet","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Database; Adverse drug reaction; Adverse effect; Medicine; Drug reaction; Drug; Pharmacology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003597061,0.0009212322,0.001579829,0.006368653,0.001623453,0.001884682,0.002405475,0.001134256,0.07306099],"category_scores_gemma":[0.01822853,0.0004473417,0.0008191348,0.008372571,0.0005147704,0.0008272826,0.0008602573,0.001589226,0.01839627],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0107089,"about_ca_system_score_gemma":0.02920946,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.684352,"about_ca_topic_score_gemma":0.7577786,"domain_scores_codex":[0.9952433,0.0005037881,0.0005563857,0.0002290143,0.003215938,0.0002515461],"domain_scores_gemma":[0.9656524,0.003684337,0.004296889,0.0014394,0.02299119,0.001935846],"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":[0.0001952724,0.00008431567,0.006301483,0.0008605482,0.00006618001,0.00009273893,0.00006985896,0.0002658507,0.0003410261,0.00144843,0.9013152,0.08895919],"study_design_scores_gemma":[0.000194609,0.0000756001,0.03972124,0.0005331031,0.0001441499,0.0002105018,0.00004514809,0.0007653117,0.001300619,0.0008775078,0.9560588,0.00007343846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00516901,0.00736324,0.006071835,0.008704859,0.0003703292,0.002809752,0.7400147,0.005307044,0.2241892],"genre_scores_gemma":[0.08715496,0.016581,0.03779855,0.008596018,0.0005183399,0.003267968,0.7024721,0.001192366,0.1424188],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9892911,"threshold_uncertainty_score":0.6350137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07455171673926346,"score_gpt":0.4117343196774081,"score_spread":0.3371826029381447,"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."}}