{"id":"W2756473223","doi":"","title":"ACO:喘息とCOPDのオーバーラップ 疾患概念・歴史","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; Medicine; Computer science; 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":[0.003691746,0.0003948644,0.0003074615,0.001649003,0.002566509,0.009177884,0.001066044,0.006041603,0.1407449],"category_scores_gemma":[0.01133971,0.0002656709,0.0002914103,0.001444003,0.002416583,0.00289742,0.002309027,0.003631474,0.05285527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005675395,"about_ca_system_score_gemma":0.0180221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007784009,"about_ca_topic_score_gemma":0.01073353,"domain_scores_codex":[0.9969167,0.000376081,0.0001707542,0.0002787864,0.001775783,0.0004820067],"domain_scores_gemma":[0.9893016,0.00125733,0.000744819,0.0004343238,0.004379854,0.003882053],"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":[0.00006862105,0.0001598449,0.001951754,0.0002503021,0.00001127657,0.0002364578,0.0002083483,0.0001421576,0.0008032136,0.1606276,0.6965451,0.1389955],"study_design_scores_gemma":[0.00001591919,0.00002305392,0.001197472,0.0001344298,0.000005326085,0.0002605535,0.0001322992,0.0001221774,0.000335597,0.009526319,0.9882352,0.00001155319],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003265731,0.003723329,0.001707377,0.159322,0.01353089,0.0001743916,0.0005283702,0.0002676378,0.8174803],"genre_scores_gemma":[0.07450677,0.005858725,0.003702004,0.04671524,0.01119537,0.000175323,0.0004333625,0.0002683073,0.8571448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1407449,"threshold_uncertainty_score":0.4708386,"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."}}