{"id":"W3097424388","doi":"","title":"血液凝固第XIII因子製剤の臨床・(1) 仙骨合併切除を伴う骨盤内臓全摘術における出血と術後感染に対する工夫","year":2006,"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":"Geology","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":[0.0003962233,0.0005070203,0.0005169853,0.0002548461,0.0002166296,0.00004534865,0.0006881565,0.0005522249,0.004700514],"category_scores_gemma":[0.00006239188,0.0005252495,0.0001886037,0.0004477008,0.0004447599,0.0002690336,0.0001104417,0.00112979,0.001613099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009905535,"about_ca_system_score_gemma":0.00008757463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003620778,"about_ca_topic_score_gemma":0.00007651628,"domain_scores_codex":[0.9973217,0.00007563778,0.0006727511,0.0005087327,0.0004706267,0.0009506124],"domain_scores_gemma":[0.9988849,0.0001445695,0.00007585392,0.0006294831,0.00005259758,0.0002125632],"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":[0.0001418722,0.0007411154,0.003354942,0.001268534,0.0008640192,0.001615987,0.001300342,0.003973516,0.01811756,0.1520436,0.7744843,0.04209412],"study_design_scores_gemma":[0.004966984,0.0002882247,0.007653244,0.0004272362,0.0006352079,0.0003358347,0.00102786,0.04363693,0.01350293,0.06146725,0.863679,0.002379299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.142684,0.05629141,0.001540587,0.004792845,0.005394058,0.000568353,0.000139864,0.00303634,0.7855526],"genre_scores_gemma":[0.9925413,0.002000466,0.0007019968,0.0002363465,0.001295219,0.00004532195,0.00007486687,0.00007899764,0.003025451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8498574,"threshold_uncertainty_score":0.9997199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01144969401208465,"score_gpt":0.2418382291162886,"score_spread":0.2303885351042039,"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."}}