{"id":"W2753770051","doi":"","title":"2型糖尿病の最新治療のために必要な知識 CGM,FreeStyleリブレProを糖尿病診療にどう生かす","year":2017,"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":[0.000416726,0.0002869591,0.0001935595,0.00036741,0.0004296047,0.0005752342,0.0004103941,0.0007516591,0.02368517],"category_scores_gemma":[0.0006890715,0.0001149375,0.0002386484,0.0002495031,0.0004431462,0.0002782495,0.0002818491,0.0006317454,0.006610879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004746405,"about_ca_system_score_gemma":0.0008616754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002749993,"about_ca_topic_score_gemma":0.002887198,"domain_scores_codex":[0.9997612,0.00003331534,0.00001275031,0.00004591641,0.0001020917,0.00004475943],"domain_scores_gemma":[0.999823,0.00004017286,0.00003066435,0.00002306038,0.00004683676,0.00003623405],"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":[0.002873588,0.00108716,0.008406185,0.000842586,0.00008642639,0.001022023,0.0006294986,0.0007511821,0.2414159,0.03015208,0.06109631,0.6516371],"study_design_scores_gemma":[0.0006054483,0.002426602,0.04251539,0.0002735839,0.0001897583,0.004218096,0.00044926,0.001773162,0.30291,0.009270616,0.6352623,0.0001058451],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3407891,0.01333234,0.0440803,0.01207029,0.002851949,0.001117101,0.003770162,0.001841843,0.5801469],"genre_scores_gemma":[0.7159436,0.004935049,0.03918179,0.006279704,0.0008523046,0.0006218769,0.002149439,0.0001889722,0.2298473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02368517,"threshold_uncertainty_score":0.07923472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0223974476831003,"score_gpt":0.2783495796519692,"score_spread":0.2559521319688688,"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."}}