{"id":"W2413681938","doi":"","title":"イージー アズマ プログラム (EAP) のパイロット試験結果-成人 小児気管支喘息について-","year":2007,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.001330531,0.0005409949,0.0005633977,0.0003667136,0.000235994,0.00003064567,0.0008080127,0.0006916716,0.006425151],"category_scores_gemma":[0.0002147761,0.000557775,0.0001993452,0.0005723588,0.0005004498,0.0002946822,0.0001442657,0.001625937,0.001800335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001161983,"about_ca_system_score_gemma":0.00009704469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008828186,"about_ca_topic_score_gemma":0.00006554072,"domain_scores_codex":[0.9967127,0.00006257189,0.000802426,0.000552678,0.0005767826,0.001292815],"domain_scores_gemma":[0.9983446,0.0003148021,0.00008975957,0.0006826434,0.00006843665,0.0004997608],"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":[0.0006413725,0.001127,0.00412384,0.002813646,0.002836342,0.006582603,0.01323951,0.001131207,0.0331544,0.05869341,0.4740981,0.4015586],"study_design_scores_gemma":[0.004420188,0.0004093781,0.004840601,0.0005127319,0.0005388179,0.0004438985,0.004344203,0.009956043,0.02951687,0.01197443,0.9309591,0.002083749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2530184,0.06892772,0.007947963,0.005074432,0.01034214,0.0008539439,0.0001583057,0.003354291,0.6503228],"genre_scores_gemma":[0.9911344,0.004465558,0.0008938055,0.0005316424,0.001192706,0.00002000095,0.00003886537,0.00008407037,0.001638962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.738116,"threshold_uncertainty_score":0.9996874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611963354997176,"score_gpt":0.2681703090213227,"score_spread":0.2520506754713509,"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."}}