{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008124421,0.0002713243,0.0003481249,0.0002268776,0.0002744882,0.0003908642,0.0002383082,0.0002968475,0.006818905],"category_scores_gemma":[0.0006286423,0.0001759065,0.000363953,0.000135666,0.0003776219,0.0002597066,0.0002416647,0.000981746,0.002272979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002570361,"about_ca_system_score_gemma":0.0003945642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008410838,"about_ca_topic_score_gemma":0.0008552301,"domain_scores_codex":[0.9997126,0.00006257527,0.00002891461,0.00004554801,0.00009997458,0.00005023716],"domain_scores_gemma":[0.9997838,0.00005300845,0.00003969234,0.00003490804,0.00004887267,0.00003975552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003027431,0.001184059,0.01356617,0.0009961324,0.0003418769,0.001152112,0.0002824198,0.0006653856,0.4375874,0.01097882,0.01350315,0.516715],"study_design_scores_gemma":[0.001003899,0.01379429,0.06535262,0.0004831264,0.0006453925,0.009012336,0.0004731687,0.004200344,0.729968,0.009279783,0.1656367,0.0001503306],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7269855,0.02828801,0.05482773,0.005743362,0.001990714,0.0007343122,0.001491635,0.0009954016,0.1789433],"genre_scores_gemma":[0.932037,0.009061895,0.0180494,0.001804318,0.0004979299,0.0002458254,0.0006464622,0.00006250569,0.03759461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006818905,"threshold_uncertainty_score":0.02281147,"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."}}