{"id":"W2745785581","doi":"","title":"日本と米国におけるてんかんの薬物治療； 各国の治療，ガイドライン，薬剤選択について","year":2010,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001352828,0.0003352661,0.0002852344,0.0007627088,0.00220333,0.002396616,0.0004101101,0.0007667658,0.02026922],"category_scores_gemma":[0.002934929,0.0002959822,0.0003781289,0.0003783099,0.003470415,0.001446051,0.000904205,0.001440813,0.007067522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001238925,"about_ca_system_score_gemma":0.002173844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005608637,"about_ca_topic_score_gemma":0.005154748,"domain_scores_codex":[0.9986947,0.0001592757,0.00007521937,0.0002189152,0.0006922807,0.0001595783],"domain_scores_gemma":[0.997815,0.0007465227,0.0002068546,0.0002549621,0.0008063142,0.0001702629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003629235,0.0002863788,0.007692449,0.0004871703,0.0001085716,0.00140441,0.004220859,0.00197192,0.06735745,0.5471079,0.02646154,0.3425385],"study_design_scores_gemma":[0.00007298688,0.0005081416,0.03073229,0.0002730037,0.0001988079,0.003504723,0.006758481,0.002853861,0.161003,0.2568344,0.5370858,0.0001746292],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.1216926,0.00464417,0.04050361,0.007134778,0.001137527,0.0001842797,0.0004439161,0.0003277267,0.8239314],"genre_scores_gemma":[0.7766318,0.00459912,0.02910919,0.00214065,0.000832242,0.0001754111,0.0003660812,0.0001454621,0.1860001],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02026922,"threshold_uncertainty_score":0.06780726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242620742157547,"score_gpt":0.2551619172801331,"score_spread":0.2427357098585576,"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."}}