{"id":"W370912598","doi":"","title":"糖尿病大規模臨床研究から学ぶこと(短期) (糖尿病) -- (臨床分野での進歩)","year":2010,"lang":"ja","type":"article","venue":"Canadian parliamentary review","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007564196,0.0004985767,0.0004443613,0.003419959,0.004965731,0.006059374,0.001351044,0.002719968,0.01272317],"category_scores_gemma":[0.01127651,0.0002934889,0.0003956417,0.003673795,0.003685235,0.002048587,0.0009610531,0.002536674,0.002242238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03393623,"about_ca_system_score_gemma":0.1139423,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.815032,"about_ca_topic_score_gemma":0.897002,"domain_scores_codex":[0.9924028,0.0006072568,0.0003005838,0.0002809793,0.005120462,0.001287962],"domain_scores_gemma":[0.9912238,0.0015205,0.0003574674,0.0001940725,0.006261812,0.0004423695],"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":[0.00007176331,0.00002563269,0.001025638,0.002013461,0.00005437185,0.0001528661,0.0008050296,0.0003054689,0.000824911,0.2556225,0.594094,0.1450043],"study_design_scores_gemma":[0.00001029961,0.000007981288,0.001750691,0.0004979821,0.00003070689,0.0000500898,0.0004505276,0.00004361625,0.000308517,0.004145724,0.9926895,0.00001421236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005681255,0.2705244,0.001431082,0.1828315,0.009390566,0.0001626652,0.0008153046,0.0000822676,0.5290808],"genre_scores_gemma":[0.2821427,0.2945691,0.005620682,0.07126612,0.004069512,0.0002536023,0.0008103339,0.0001127618,0.3411552],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9872769,"threshold_uncertainty_score":0.3721146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175987327262699,"score_gpt":0.2241137736395861,"score_spread":0.2123539003669591,"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."}}