{"id":"W2200191717","doi":"","title":"糖尿病患者の食後血糖評価に関する検討；テストミール負荷試験時血糖値と血糖応答指標の関係（研究）","year":2005,"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":"Business","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":[0.0004998315,0.0005262048,0.0005406401,0.0002680532,0.0002139879,0.00003944192,0.0008056315,0.0005593379,0.01286217],"category_scores_gemma":[0.000130369,0.0005440943,0.0001969443,0.0004130873,0.0004126425,0.0004301301,0.0001369146,0.001387391,0.004286008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001489833,"about_ca_system_score_gemma":0.0001071275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003369446,"about_ca_topic_score_gemma":0.00004773618,"domain_scores_codex":[0.9972077,0.00007958271,0.0006706568,0.0005280662,0.0005029155,0.00101106],"domain_scores_gemma":[0.9986327,0.0001592902,0.00007419709,0.0006724948,0.00005455843,0.0004067218],"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":[0.0001454118,0.0006876096,0.0007345335,0.001058972,0.00147837,0.0006559633,0.006722495,0.004086105,0.009556687,0.04656404,0.4831797,0.4451301],"study_design_scores_gemma":[0.00238733,0.0001441923,0.0006398152,0.000232345,0.0002922009,0.0001901542,0.0009474747,0.04341963,0.008356135,0.003142245,0.9391497,0.001098743],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1334577,0.08626697,0.001649301,0.02207061,0.005570077,0.0008210564,0.0001665014,0.003702772,0.746295],"genre_scores_gemma":[0.9854499,0.007414214,0.001559912,0.0008671825,0.001869218,0.00004891648,0.00003370758,0.00008266036,0.002674291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8519922,"threshold_uncertainty_score":0.9997011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511952508600746,"score_gpt":0.2586597855071774,"score_spread":0.2435402604211699,"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."}}