{"id":"W2577684591","doi":"","title":"末梢性T細胞リンパ腫（PTCL）治療の新しい潮流（3） PTCL治療の現況：個々の病型に最適な治療法の確立を目指して","year":2016,"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":"Medicine","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":[0.00062088,0.0006413975,0.0006557172,0.0003132061,0.0002271088,0.00003227983,0.00100338,0.0006552835,0.01180402],"category_scores_gemma":[0.0002951786,0.0004806181,0.0002413515,0.0004081356,0.0007090608,0.0005063682,0.0001959976,0.0008362184,0.004646287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001483932,"about_ca_system_score_gemma":0.0001220379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004569047,"about_ca_topic_score_gemma":0.00002307019,"domain_scores_codex":[0.9965652,0.0001318764,0.0007668557,0.0007040806,0.0005844817,0.001247545],"domain_scores_gemma":[0.9979941,0.0003990695,0.0001028426,0.0009181515,0.00008144008,0.0005043428],"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":[0.0003205156,0.000577104,0.002406378,0.001254884,0.002047573,0.001611494,0.003515383,0.00007347359,0.09817729,0.07981429,0.4225416,0.38766],"study_design_scores_gemma":[0.007428986,0.0004948321,0.002630025,0.00151065,0.0005706178,0.0003686975,0.001240882,0.003247032,0.03678711,0.03304807,0.9101203,0.002552769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2646387,0.07446294,0.008173932,0.04618394,0.01596809,0.001590397,0.0005737985,0.006901954,0.5815063],"genre_scores_gemma":[0.9831511,0.01089394,0.0004546449,0.0004300504,0.001073407,0.00007225441,0.00001574986,0.0001059986,0.003802847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7185125,"threshold_uncertainty_score":0.9997646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01616947838557887,"score_gpt":0.2539130053668001,"score_spread":0.2377435269812212,"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."}}