{"id":"W2742925143","doi":"","title":"心血管系ハイリスク患者に対する~テルミサルタン~ラミプリル~または両者併用の効果（ONTARGET試験）（海外文献Data Analysis）","year":2008,"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":[0.03964697,0.0006005372,0.0008882639,0.001397836,0.001242811,0.002445682,0.0007432926,0.0004667637,0.01132846],"category_scores_gemma":[0.07428627,0.0005410177,0.001082091,0.001783257,0.00243109,0.001293476,0.001042354,0.001183217,0.002254029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001687076,"about_ca_system_score_gemma":0.004652338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002999472,"about_ca_topic_score_gemma":0.005221054,"domain_scores_codex":[0.9673839,0.01607561,0.00363579,0.003421348,0.008671919,0.0008113179],"domain_scores_gemma":[0.9087536,0.05332132,0.007634208,0.01271076,0.01637407,0.00120603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.003654402,0.0006093422,0.1614344,0.002395656,0.001702561,0.0003565254,0.005365209,0.002075706,0.02426019,0.03444239,0.0197093,0.7439942],"study_design_scores_gemma":[0.0006757728,0.003905766,0.4129576,0.001346576,0.003637338,0.002292429,0.005391465,0.03162444,0.1339245,0.07156903,0.3322479,0.0004271307],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.308275,0.004173753,0.5717536,0.01032514,0.001701181,0.006244244,0.006508517,0.00219312,0.08882548],"genre_scores_gemma":[0.7271867,0.001244518,0.2419448,0.002047542,0.0008402012,0.004672419,0.001993808,0.0004754033,0.01959467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03964697,"threshold_uncertainty_score":0.2096757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02335480243407307,"score_gpt":0.2600236645446951,"score_spread":0.236668862110622,"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."}}