{"id":"W2733642359","doi":"","title":"COPD（慢性閉塞性肺疾患）治療の進歩；ランドマークトライアル：UPLIFT試験から得られた知見","year":2009,"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":[0.0004502015,0.0005775763,0.0006324829,0.0002662445,0.0002388118,0.00004562317,0.0008315664,0.0006164932,0.004319336],"category_scores_gemma":[0.0001452452,0.0005942406,0.0002023113,0.0005310149,0.0003330247,0.0003473024,0.00007176404,0.001439014,0.001538881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009683676,"about_ca_system_score_gemma":0.0001066848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002862994,"about_ca_topic_score_gemma":0.000009087359,"domain_scores_codex":[0.9971122,0.0000784693,0.0006722016,0.0005741359,0.0005156662,0.001047297],"domain_scores_gemma":[0.9985614,0.0001297962,0.00008262022,0.0007225494,0.00006244092,0.0004411726],"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":[0.0002938541,0.001325734,0.0006671073,0.0009760374,0.001124774,0.001834603,0.006709799,0.001613415,0.02144801,0.1064435,0.591002,0.2665611],"study_design_scores_gemma":[0.008191419,0.001107949,0.006394829,0.0008219762,0.0007627485,0.0004996738,0.002505532,0.04127547,0.01309319,0.0455876,0.8766177,0.003141898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.155627,0.1087487,0.003609728,0.02798835,0.008023134,0.001263155,0.0001817693,0.005436103,0.6891221],"genre_scores_gemma":[0.9883804,0.007205566,0.0008363037,0.001406078,0.0008497153,0.0000220053,0.00004213383,0.00005435394,0.001203439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8327535,"threshold_uncertainty_score":0.9996509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441617556095633,"score_gpt":0.2596063884009233,"score_spread":0.245190212839967,"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."}}