{"id":"W2209931391","doi":"","title":"DPP-4阻害薬トラゼンタ(R)による糖尿病の新たな治療戦略：HbA1c 7.0%未満達成に向けて","year":2014,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008593119,0.0005654751,0.0006462248,0.0002657097,0.0002542874,0.00004049162,0.0009073984,0.0006047212,0.006032472],"category_scores_gemma":[0.0003147205,0.0005719759,0.0002032211,0.0004137024,0.000509371,0.0002798986,0.0001589978,0.001427511,0.002702705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008883599,"about_ca_system_score_gemma":0.00007178031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006652353,"about_ca_topic_score_gemma":0.00002442952,"domain_scores_codex":[0.9970012,0.0001737966,0.0006736138,0.0005985069,0.0005206396,0.001032214],"domain_scores_gemma":[0.9982626,0.0003056086,0.00008880591,0.0008415568,0.00006005348,0.0004413689],"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":[0.0002092338,0.0006623374,0.001699341,0.002784263,0.001963269,0.0005490251,0.007153583,0.002543896,0.01306531,0.1215248,0.5200625,0.3277825],"study_design_scores_gemma":[0.003263137,0.0003805338,0.001826201,0.0004179398,0.0004425994,0.0001722548,0.001114763,0.1038499,0.006794188,0.01858848,0.8615832,0.001566899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1892104,0.02971479,0.008270903,0.01027304,0.01084356,0.0008424575,0.0001452988,0.004169748,0.7465298],"genre_scores_gemma":[0.9922767,0.00345353,0.0007028591,0.0006634278,0.001281672,0.0000498004,0.00004718398,0.00009047693,0.001434297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8030664,"threshold_uncertainty_score":0.9996732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01336018377594647,"score_gpt":0.2487507868395274,"score_spread":0.2353906030635809,"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."}}