{"id":"W3181173354","doi":"","title":"心筋血流SPECTの虚血判定におけるANN(人工ニューラルネットワーク)解析による読影支援の可能性","year":2021,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008422595,0.0006044759,0.001142285,0.0002138524,0.0002628999,0.0001385621,0.0003146695,0.0002988291,0.01414445],"category_scores_gemma":[0.005617954,0.0006204371,0.0006452654,0.0009033115,0.0004411854,0.0001582045,0.0003532321,0.001421337,0.006199819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002522326,"about_ca_system_score_gemma":0.001786435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007971903,"about_ca_topic_score_gemma":0.00000441232,"domain_scores_codex":[0.9949301,0.0003346305,0.0008558859,0.00101865,0.001559858,0.001300905],"domain_scores_gemma":[0.9952523,0.001190344,0.000211056,0.001177825,0.0006145943,0.001553884],"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":[0.0002254426,0.001555098,0.01904988,0.001000714,0.00140664,0.02003869,0.003146373,0.00001113592,0.0112262,0.0005044224,0.8695626,0.07227283],"study_design_scores_gemma":[0.00845469,0.0001602451,0.009857201,0.001300896,0.002786062,0.001928542,0.00153113,0.0008525767,0.04030076,0.0001493811,0.931855,0.0008235546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08043502,0.3038337,0.001480349,0.1192911,0.03843804,0.00132498,0.0006448328,0.001121329,0.4534307],"genre_scores_gemma":[0.9427504,0.01060523,0.000721234,0.01498343,0.01019504,0.00004638396,0.0003559412,0.0001640461,0.02017828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8623154,"threshold_uncertainty_score":0.9996247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02245401079338172,"score_gpt":0.3249207252323157,"score_spread":0.302466714438934,"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."}}