{"id":"W2754462576","doi":"","title":"ACO:喘息とCOPDのオーバーラップ 管理目標と予後","year":2017,"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":"COPD; Computer science; Medicine; Internal 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":[0.0004028605,0.0003537262,0.000409202,0.000109708,0.0007237591,0.0001037189,0.00145387,0.0004254036,0.003907631],"category_scores_gemma":[0.0003140411,0.000355204,0.0001340899,0.00006383939,0.0006701482,0.0004512396,0.0002406828,0.001017909,0.001649382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004961592,"about_ca_system_score_gemma":0.00007465587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009875802,"about_ca_topic_score_gemma":0.00001873605,"domain_scores_codex":[0.998208,0.00003916176,0.0003712785,0.0003843885,0.0003215285,0.0006756226],"domain_scores_gemma":[0.9982131,0.00008007984,0.000109159,0.001284372,0.00003915009,0.0002742138],"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":[0.0002541892,0.0005934832,0.01089142,0.002709424,0.00279079,0.003405367,0.007365394,0.0004041479,0.01641232,0.09325518,0.5463768,0.3155415],"study_design_scores_gemma":[0.00673229,0.000386944,0.02052773,0.0009866601,0.0007653147,0.0002759658,0.002023769,0.06352726,0.01622674,0.03248838,0.8534775,0.002581403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1659589,0.02537581,0.0005551584,0.0135739,0.009720127,0.0004786111,0.0001154603,0.001421661,0.7828004],"genre_scores_gemma":[0.9907991,0.005769219,0.0003390137,0.0001852297,0.0008485147,0.00002886588,0.00001215037,0.00004815704,0.001969794],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8248402,"threshold_uncertainty_score":0.99989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02352954258242857,"score_gpt":0.285370023101869,"score_spread":0.2618404805194404,"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."}}