{"id":"W3148412752","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・小児気管支喘息において（原著）","year":2007,"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":"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008494335,0.0002566849,0.0001756605,0.0007085473,0.001417811,0.002025108,0.0003396594,0.0006254272,0.01306658],"category_scores_gemma":[0.00176456,0.0001845615,0.0002664121,0.0004041229,0.00206412,0.001572369,0.0007460876,0.001034191,0.00363608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071414,"about_ca_system_score_gemma":0.001646745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002482213,"about_ca_topic_score_gemma":0.00171378,"domain_scores_codex":[0.9994325,0.00008970985,0.00002685358,0.0001037059,0.0002549658,0.00009233977],"domain_scores_gemma":[0.9989472,0.0002996248,0.00008542393,0.0001000806,0.0004692017,0.00009853712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.0001945265,0.0001560766,0.006883384,0.0003625502,0.00006379774,0.0009048387,0.002494382,0.001937548,0.03462893,0.5919484,0.01558301,0.3448426],"study_design_scores_gemma":[0.00004836974,0.000420774,0.02844206,0.0001924005,0.0001134558,0.002568677,0.006159286,0.003389907,0.1015738,0.3927102,0.4642681,0.0001128532],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1308579,0.003539305,0.04014114,0.006198177,0.0007354696,0.0001409025,0.000325678,0.000228879,0.8178326],"genre_scores_gemma":[0.860198,0.002178952,0.02543497,0.001076054,0.000335533,0.0001235799,0.0001695149,0.0000630181,0.1104204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01306658,"threshold_uncertainty_score":0.04371208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611660323990328,"score_gpt":0.2687730275436872,"score_spread":0.2526564243037839,"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."}}