{"id":"W2755854448","doi":"","title":"ACO:喘息とCOPDのオーバーラップ 診断の現状と問題点","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":[0.003661363,0.0003810835,0.0002928673,0.001741731,0.003248814,0.006967606,0.001008568,0.006158056,0.09453119],"category_scores_gemma":[0.01063032,0.0003007035,0.0003583736,0.001396071,0.002064272,0.002376952,0.001870675,0.004108491,0.0382478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00457624,"about_ca_system_score_gemma":0.01478196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01412024,"about_ca_topic_score_gemma":0.02149958,"domain_scores_codex":[0.9966962,0.0003172233,0.0001935951,0.0002623724,0.002078342,0.0004522808],"domain_scores_gemma":[0.9921333,0.001263625,0.000528354,0.0004216696,0.00374617,0.001906998],"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":[0.0001140592,0.000183736,0.002384412,0.0002257742,0.00001090919,0.0005874904,0.0003052596,0.0001364432,0.001245057,0.1547875,0.6861956,0.1538239],"study_design_scores_gemma":[0.00001906967,0.00003247175,0.001756913,0.0001055117,0.000006586872,0.0003531133,0.0001460529,0.0001106822,0.000607989,0.008867076,0.9879777,0.0000168898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00442601,0.003448343,0.002164017,0.09242558,0.01307272,0.0002981864,0.0006437755,0.0003403652,0.8831809],"genre_scores_gemma":[0.07519031,0.004907383,0.004912222,0.04507781,0.009759263,0.0002125359,0.0004727945,0.0002567538,0.859211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09453119,"threshold_uncertainty_score":0.3162383,"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."}}