{"id":"W2306613735","doi":"","title":"カナダにおける医薬品安全対策と医療データベース（1）―保健省の取り組みと州のデータベース","year":2010,"lang":"ja","type":"article","venue":"医学のあゆみ","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"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":[0.001520981,0.0002861177,0.0002697105,0.0006899001,0.0007992382,0.002291529,0.0004869112,0.0007067467,0.008199904],"category_scores_gemma":[0.003410114,0.0002054979,0.000375228,0.0003455751,0.001200068,0.001436211,0.0005276345,0.0008150486,0.001260793],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001177358,"about_ca_system_score_gemma":0.001340786,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002670267,"about_ca_topic_score_gemma":0.002226333,"domain_scores_codex":[0.9990502,0.0002991306,0.00006381961,0.0002114807,0.0002937324,0.00008165992],"domain_scores_gemma":[0.9977946,0.000756004,0.0004629163,0.0000855496,0.0006949137,0.0002060029],"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":[0.001216406,0.0007637736,0.1229477,0.001032431,0.0003835103,0.001036592,0.005048546,0.002626793,0.06030709,0.1508331,0.01184105,0.641963],"study_design_scores_gemma":[0.0002939393,0.004387077,0.3308013,0.0008093987,0.001372203,0.006122778,0.009185852,0.008247391,0.1213426,0.2036293,0.3134963,0.0003120144],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5178369,0.01128039,0.04589642,0.01193462,0.0009357169,0.00050789,0.0006676787,0.0002447862,0.4106957],"genre_scores_gemma":[0.9507251,0.002354908,0.01252793,0.001220441,0.000399048,0.00009602023,0.0001522117,0.00001935354,0.03250493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9988226,"threshold_uncertainty_score":0.02743143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09322393058777492,"score_gpt":0.4566806979627404,"score_spread":0.3634567673749655,"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."}}