{"id":"W2756036091","doi":"","title":"ACO:喘息とCOPDのオーバーラップ 検査所見・バイオマーカー","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00369606,0.0004022624,0.0003560856,0.001687516,0.002462039,0.009028403,0.001096253,0.006390712,0.1781054],"category_scores_gemma":[0.01292579,0.0002833566,0.0003041449,0.001444634,0.002229577,0.002644856,0.002278002,0.003648395,0.07114381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005368964,"about_ca_system_score_gemma":0.01768484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006877863,"about_ca_topic_score_gemma":0.009846089,"domain_scores_codex":[0.9969522,0.0003447006,0.0001815381,0.0002850213,0.001754346,0.0004820749],"domain_scores_gemma":[0.9868593,0.001428208,0.000851194,0.0005147401,0.005272334,0.005074272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00006970556,0.0001526968,0.001680834,0.0002256671,0.0000104246,0.0002233669,0.0001393328,0.0001148456,0.0007050466,0.09313844,0.7796491,0.1238906],"study_design_scores_gemma":[0.00001776216,0.0000217525,0.001087879,0.0001227208,0.000005022604,0.0002689958,0.00009093604,0.0001118361,0.0002914481,0.006418272,0.991553,0.00001035632],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003020032,0.003664576,0.001539712,0.1633349,0.01883123,0.0002072008,0.0006799441,0.0003212879,0.808401],"genre_scores_gemma":[0.05351809,0.005059928,0.002877603,0.04283432,0.01369589,0.0001697508,0.0004664419,0.0002963104,0.8810817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1781054,"threshold_uncertainty_score":0.5958219,"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."}}