{"id":"W2742665959","doi":"","title":"うつ病・うつ状態を伴ったメタボリックシンドロームを呈する糖尿病患者に~パロキセチンを投与して血圧~血糖コントロールの安定した1例（臨床報告）","year":2006,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005970652,0.0007984058,0.0008020567,0.0004042916,0.0003452715,0.00007199046,0.001029129,0.000812123,0.007051746],"category_scores_gemma":[0.0001019532,0.0008331749,0.000306936,0.0007069263,0.0006371464,0.000416322,0.0001874407,0.001624501,0.002319732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001669137,"about_ca_system_score_gemma":0.0001510086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000502582,"about_ca_topic_score_gemma":0.0001264378,"domain_scores_codex":[0.9958962,0.000131841,0.001034007,0.0007958101,0.0007176685,0.001424521],"domain_scores_gemma":[0.9982642,0.0002306958,0.0001329829,0.0009229276,0.00009107597,0.0003581433],"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":[0.0002289151,0.001170019,0.004800275,0.002040231,0.001385426,0.002618481,0.002274589,0.004499136,0.02937994,0.1220235,0.7872635,0.04231605],"study_design_scores_gemma":[0.006299156,0.0004284413,0.007783836,0.0006805245,0.0008958002,0.000535397,0.001712199,0.04002171,0.02185768,0.05233248,0.8640715,0.003381306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2236085,0.07623376,0.002357663,0.006283959,0.008072229,0.001030637,0.0002869392,0.004189503,0.6779368],"genre_scores_gemma":[0.9894285,0.003033053,0.0009200677,0.0003324106,0.001917775,0.00007631443,0.000126215,0.0001335233,0.004032188],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.76582,"threshold_uncertainty_score":0.9994119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156588935498763,"score_gpt":0.2422935870358271,"score_spread":0.2307276976808394,"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."}}