{"id":"W2749482265","doi":"","title":"糖尿病と大血管障害；リスク管理と血管保護（総説）","year":2009,"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":[0.001325578,0.0002069941,0.0001676369,0.000699038,0.001722588,0.004517186,0.0004493356,0.0009482205,0.01581852],"category_scores_gemma":[0.002145049,0.0001658159,0.000155202,0.0005359741,0.0045706,0.003054058,0.0007061404,0.001087692,0.002359714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002786964,"about_ca_system_score_gemma":0.002946286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004154624,"about_ca_topic_score_gemma":0.00299935,"domain_scores_codex":[0.9992839,0.0001519613,0.00002627328,0.0001091706,0.000342976,0.00008573589],"domain_scores_gemma":[0.9988987,0.0003294792,0.000116045,0.00007994183,0.0004419612,0.0001336381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001494556,0.00002877561,0.0006890328,0.00006810345,0.00001151626,0.00006546779,0.001574887,0.000492612,0.001073811,0.9544678,0.005896576,0.03561655],"study_design_scores_gemma":[0.00001484874,0.00006079522,0.003987569,0.0001061828,0.0000238239,0.0001869153,0.005180066,0.001020985,0.002911588,0.761655,0.2248223,0.00002988121],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.04457223,0.002767405,0.0183814,0.02384097,0.0006476967,0.00005605034,0.0001043734,0.00005889063,0.9095711],"genre_scores_gemma":[0.8534771,0.002300019,0.008803136,0.002132762,0.0003777576,0.00005994826,0.00004842939,0.0000270537,0.1327737],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01581852,"threshold_uncertainty_score":0.0529182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473548641461375,"score_gpt":0.2597194626877566,"score_spread":0.2449839762731428,"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."}}