{"id":"W2686931122","doi":"","title":"ONTARGET；強力なACE阻害薬（ラミプリル）の有用性の再認識とそれに劣らぬテルミサルタンの成績を示した貴重な試験","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":"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":[0.0003995674,0.000644479,0.0007250223,0.0003022338,0.0004633044,0.00001952475,0.0008753896,0.0006479961,0.00916791],"category_scores_gemma":[0.0001574847,0.0006654144,0.00025522,0.0005127403,0.0007622433,0.0003723784,0.0001506437,0.001725273,0.00267131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000154866,"about_ca_system_score_gemma":0.000226653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002065881,"about_ca_topic_score_gemma":0.00006295545,"domain_scores_codex":[0.9966934,0.000104063,0.0007530751,0.0006417679,0.0006428577,0.001164846],"domain_scores_gemma":[0.9983723,0.000175805,0.00009282908,0.0007806998,0.00007831468,0.0005000528],"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":[0.0003327843,0.001012183,0.008452184,0.001308818,0.002380047,0.007903792,0.01687353,0.001441574,0.01163396,0.01813326,0.9072592,0.02326864],"study_design_scores_gemma":[0.006313303,0.0005671533,0.0081739,0.0004286138,0.0005084914,0.002241519,0.002079274,0.02128306,0.0156801,0.006550373,0.9333155,0.002858682],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4911393,0.08156382,0.001386789,0.004782389,0.008888538,0.0009282415,0.0001759596,0.003582181,0.4075528],"genre_scores_gemma":[0.9766839,0.01697921,0.001025039,0.0004933259,0.0009167377,0.00005951257,0.00005880181,0.0001004675,0.003683031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4855446,"threshold_uncertainty_score":0.9995797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02029085943156571,"score_gpt":0.2465448674522442,"score_spread":0.2262540080206785,"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."}}