{"id":"W2921178388","doi":"","title":"慢性心不全薬物治療の新しいトピックス― イバブラジン，アンジオテンシン受容体・ネプリライシン阻害薬，SGLT2阻害薬―","year":2018,"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":[0.0008073462,0.000306032,0.0002731015,0.0002875265,0.0004529846,0.001486745,0.0002755039,0.000543492,0.005185701],"category_scores_gemma":[0.0009047842,0.000172074,0.0004757114,0.0003567221,0.0008410208,0.0009166201,0.0004201249,0.0009946432,0.002057776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008229359,"about_ca_system_score_gemma":0.0007361686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001449193,"about_ca_topic_score_gemma":0.0007615536,"domain_scores_codex":[0.9995878,0.00005865612,0.0000375241,0.0001291323,0.0001349281,0.00005195336],"domain_scores_gemma":[0.9996209,0.0000686074,0.00009761246,0.00004315529,0.0001149668,0.0000547061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00218213,0.0002829668,0.02828746,0.0008516025,0.0002503153,0.002373465,0.001201707,0.001714297,0.6881834,0.03928035,0.012447,0.2229453],"study_design_scores_gemma":[0.0001315302,0.001183165,0.03463635,0.0001031582,0.0001861811,0.003962079,0.0008408315,0.003783311,0.7679147,0.01283257,0.1743131,0.0001130408],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.7541498,0.02151778,0.07506186,0.006980075,0.002374094,0.0002629125,0.001964849,0.001392304,0.1362963],"genre_scores_gemma":[0.951673,0.003419208,0.01209321,0.0009253679,0.00035438,0.0000727845,0.0009076038,0.0001071421,0.0304472],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005185701,"threshold_uncertainty_score":0.01734787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01772030216248074,"score_gpt":0.2674092177864826,"score_spread":0.2496889156240019,"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."}}