{"id":"W2597728466","doi":"","title":"第40回日本肝臓学会西部会ランチョンセミナー アルコール性肝障害における断酒の効果：内科からみたアカンプロサートへの期待と医療連携について","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":[0.001006958,0.0006654806,0.0007488021,0.0003124551,0.0002919679,0.00005364383,0.001031726,0.0007018413,0.006485027],"category_scores_gemma":[0.0003368951,0.0006772393,0.0002407655,0.0004958227,0.0005677451,0.0003292887,0.0001763685,0.001607974,0.00308695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009144153,"about_ca_system_score_gemma":0.00008362967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005360512,"about_ca_topic_score_gemma":0.0000224858,"domain_scores_codex":[0.9965401,0.0002069667,0.0007796896,0.0006922869,0.0006012228,0.001179711],"domain_scores_gemma":[0.9979992,0.000349804,0.0001071959,0.0009619945,0.00007409319,0.0005076917],"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":[0.0003965001,0.0008701347,0.00193348,0.003265212,0.002333397,0.0006029426,0.006802869,0.003918604,0.01631639,0.23158,0.4373352,0.2946453],"study_design_scores_gemma":[0.004164401,0.0006566392,0.001164197,0.0004931636,0.000521003,0.0002090614,0.001018612,0.1238053,0.005850578,0.0282457,0.8319116,0.001959778],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1046161,0.02653836,0.009038026,0.007969372,0.009860823,0.0008228645,0.0001070865,0.003854617,0.8371927],"genre_scores_gemma":[0.9918528,0.003166461,0.000870897,0.0008087665,0.001456301,0.00006034373,0.00004553362,0.0001104765,0.001628481],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8872367,"threshold_uncertainty_score":0.9995679,"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."}}