{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002666065,0.0004671342,0.0005542956,0.0005850705,0.000720971,0.00004701177,0.0006000497,0.0002218429,0.0004996086],"category_scores_gemma":[0.0001702237,0.0003751681,0.0003161361,0.0004630414,0.0002291575,0.0009710806,0.00006740441,0.002657423,0.0008528636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502003,"about_ca_system_score_gemma":0.00116326,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02556822,"about_ca_topic_score_gemma":0.0125029,"domain_scores_codex":[0.9957258,0.0008207764,0.001354117,0.00044423,0.0005861625,0.00106899],"domain_scores_gemma":[0.9961388,0.0007041649,0.001317636,0.0004667618,0.0003660996,0.001006549],"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":[0.008359012,0.005750208,0.1488198,0.0004129943,0.002399674,0.00189742,0.002639903,0.003751575,0.2909586,0.007731303,0.4503695,0.0769099],"study_design_scores_gemma":[0.002878369,0.0002513377,0.01633373,0.0002769839,0.0002671552,0.0006401714,0.000817991,0.002179978,0.02322272,0.0001107501,0.9526005,0.0004202972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806396,0.0005727527,0.00004330434,0.008471714,0.005265195,0.0009981911,0.0002211691,0.0001241428,0.003663942],"genre_scores_gemma":[0.9908879,0.001476175,0.0002351775,0.00388907,0.00128598,0.0000863133,0.0001098414,0.00005438179,0.001975153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.502231,"threshold_uncertainty_score":0.9999251,"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."}}