{"id":"W2741308395","doi":"","title":"VALUE Expert Meeting ハイリスク高血圧の大規模臨床試験；VALUE Studyから何を学ぶか？","year":2005,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Pharmacy and Medical Practices","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Mathematics; Statistics","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","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.008761588,0.001485519,0.001586265,0.0004708751,0.001693323,0.0001646011,0.002350159,0.001365278,0.04688033],"category_scores_gemma":[0.00328799,0.001449379,0.0006835451,0.0009435522,0.001643789,0.001532946,0.0009513563,0.007381682,0.007428131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005871488,"about_ca_system_score_gemma":0.001070402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001720777,"about_ca_topic_score_gemma":0.00001593001,"domain_scores_codex":[0.9851526,0.005089285,0.002449372,0.00189724,0.002241103,0.003170423],"domain_scores_gemma":[0.9886089,0.005087464,0.001210401,0.0009168928,0.0002971246,0.003879196],"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":[0.002157545,0.006669467,0.0006258741,0.0005480933,0.003337604,0.001283255,0.01832799,0.001042118,0.05056448,0.0009783386,0.5319217,0.3825435],"study_design_scores_gemma":[0.0104302,0.0003008712,0.00009681777,0.0003043446,0.001824048,0.0002913915,0.001364803,0.03971832,0.07167687,0.0001172006,0.872542,0.001333181],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1767339,0.2125185,0.0004262778,0.2797264,0.04586432,0.004730047,0.0005422453,0.001757545,0.2777007],"genre_scores_gemma":[0.8080272,0.05332972,0.001289806,0.1122115,0.01877546,0.0003032271,0.0001039003,0.0002193628,0.005739864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6312932,"threshold_uncertainty_score":0.9999312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1526769658389076,"score_gpt":0.4920576078855738,"score_spread":0.3393806420466662,"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."}}