{"id":"W2745042969","doi":"","title":"PCI患者のATISマネジメントUp to date（5）糖尿病を合併したAtherothrombosis-ATIS-治療について考える","year":2012,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Conventional PCI; Computer science; Medicine; Cardiology; Myocardial infarction","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":[0.001236542,0.0007596973,0.0011254,0.0003305794,0.000304719,0.00009124781,0.0005657176,0.0002621724,0.03634569],"category_scores_gemma":[0.0005755151,0.0006970486,0.000597341,0.0007132077,0.0002958103,0.0005201848,0.0003617894,0.0006972461,0.01508809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001841228,"about_ca_system_score_gemma":0.0003541473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001475283,"about_ca_topic_score_gemma":0.000006649112,"domain_scores_codex":[0.9940479,0.0004160218,0.0009295319,0.0008138617,0.001850455,0.001942236],"domain_scores_gemma":[0.9939483,0.000226499,0.0002048313,0.001101031,0.0001761693,0.004343173],"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":[0.0003935514,0.005979327,0.1526892,0.001462145,0.003752519,0.00009448672,0.02094365,0.000006123286,0.02185309,0.000415272,0.5490167,0.243394],"study_design_scores_gemma":[0.007029975,0.0005377688,0.114547,0.001149227,0.003326654,0.0002232174,0.003037193,0.0001308119,0.02105632,0.0000138478,0.8476812,0.00126676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8549563,0.0301769,0.001874798,0.0150542,0.01607557,0.005500219,0.0006778767,0.0008159383,0.07486821],"genre_scores_gemma":[0.9748696,0.002902448,0.0003857882,0.01104128,0.007617116,0.0002687945,0.0002411949,0.0001816561,0.002492105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2986645,"threshold_uncertainty_score":0.9995481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0303639000895134,"score_gpt":0.3170496929635283,"score_spread":0.2866857928740149,"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."}}