{"id":"W2597783521","doi":"","title":"DPP-4阻害薬の治療戦略：単独療法の現状から併用を含めた将来の展望","year":2013,"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":[0.0002641925,0.0004306691,0.0004474076,0.0001952018,0.0001634515,0.00005083988,0.0006827394,0.0004668562,0.03278901],"category_scores_gemma":[0.0001156241,0.0004202191,0.0001424185,0.0003304139,0.0003759704,0.0004259685,0.0001197882,0.001103989,0.009763973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000641468,"about_ca_system_score_gemma":0.00006488754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001905649,"about_ca_topic_score_gemma":0.00000912563,"domain_scores_codex":[0.9977496,0.00006906188,0.0005273248,0.0004225746,0.0003740187,0.000857408],"domain_scores_gemma":[0.998767,0.0001445019,0.00005628761,0.0005837574,0.00006921656,0.0003792555],"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":[0.00003411296,0.0003455489,0.001361982,0.001180625,0.001075762,0.0003651944,0.00436534,0.000492928,0.0150122,0.02560393,0.8197945,0.1303679],"study_design_scores_gemma":[0.006513329,0.000636064,0.01157388,0.0009218504,0.0007144277,0.0004464268,0.008079485,0.1420135,0.01691191,0.05704269,0.7511991,0.003947318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3727318,0.03434933,0.0007311949,0.01182331,0.006110848,0.001148333,0.00006216746,0.002756544,0.5702865],"genre_scores_gemma":[0.9919064,0.003827942,0.0005959215,0.0004964813,0.0006336736,0.000127714,0.00002462338,0.00006445256,0.002322799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6191746,"threshold_uncertainty_score":0.9998249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429266572044755,"score_gpt":0.2452722987258974,"score_spread":0.2309796330054498,"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."}}