{"id":"W2731457849","doi":"","title":"Export Meeting 専門領域におけるアンジオテンシン受容体ブロッカー（ARB）の位置づけとVALUE trial","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); Medicine; Computer science; Machine learning","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":[0.003831621,0.0007946274,0.00145421,0.0003262115,0.001304459,0.001760827,0.0004472185,0.002987382,0.09974229],"category_scores_gemma":[0.005835951,0.0002850564,0.001051743,0.000327574,0.0004627531,0.0008874468,0.0007295844,0.003285599,0.02174157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009389239,"about_ca_system_score_gemma":0.002080051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001351731,"about_ca_topic_score_gemma":0.001792552,"domain_scores_codex":[0.9987013,0.00052424,0.0001229593,0.0001804768,0.0001992181,0.0002717709],"domain_scores_gemma":[0.9971259,0.0009082137,0.0002810094,0.0003778966,0.0003796253,0.000927276],"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":[0.2739649,0.003664448,0.006308249,0.001444587,0.0009491983,0.0005086646,0.0002102173,0.0002039246,0.007045452,0.004081614,0.4502337,0.251385],"study_design_scores_gemma":[0.1820235,0.02522811,0.02921687,0.0005203703,0.001710279,0.000706287,0.0001895014,0.0005496196,0.006720633,0.003910314,0.7491187,0.0001058556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.2302473,0.02185662,0.008400656,0.1599236,0.03651337,0.01316148,0.03638759,0.002712572,0.4907969],"genre_scores_gemma":[0.5338243,0.00535469,0.006417318,0.08115794,0.02746926,0.005129391,0.0158721,0.0005517148,0.3242233],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.09974229,"threshold_uncertainty_score":0.3336712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1886377188659944,"score_gpt":0.4921800461141329,"score_spread":0.3035423272481385,"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."}}