{"id":"W2602877457","doi":"","title":"第20回関西アルコール関連問題学会ランチョンセミナー 断酒補助剤アカンプロサートの臨床使用について：沖縄のアルコール事情と重ねて","year":2014,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009442178,0.0006541326,0.0007334979,0.0003101845,0.0002773564,0.00005471687,0.001008068,0.0006716378,0.005683211],"category_scores_gemma":[0.0003588458,0.000664348,0.0002351971,0.0004905734,0.0005561046,0.0003341062,0.0001739402,0.00155068,0.002885642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009702873,"about_ca_system_score_gemma":0.00008566388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005995739,"about_ca_topic_score_gemma":0.00002916761,"domain_scores_codex":[0.9966145,0.0001949797,0.0007607877,0.0006800519,0.0005914777,0.001158249],"domain_scores_gemma":[0.9980424,0.0003326613,0.0001041189,0.0009364584,0.00007566602,0.0005087135],"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":[0.0002715563,0.0007990377,0.002433443,0.003513936,0.002052496,0.0005693096,0.006475323,0.00248148,0.01401291,0.2083504,0.3735048,0.3855353],"study_design_scores_gemma":[0.004690896,0.0005850403,0.001944163,0.0007293549,0.0006033789,0.0002545301,0.001292991,0.1264502,0.006702383,0.06001606,0.7943867,0.002344307],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1383409,0.02778922,0.007384256,0.007790194,0.009241287,0.0007856761,0.00009324181,0.003702922,0.8048723],"genre_scores_gemma":[0.9918397,0.003654795,0.0009615084,0.0007438815,0.001392215,0.00005579498,0.00004122494,0.0001108419,0.001200017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8534988,"threshold_uncertainty_score":0.9995808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01336018377594647,"score_gpt":0.2487507868395274,"score_spread":0.2353906030635809,"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."}}