{"id":"W421465121","doi":"","title":"糖尿病大規模臨床研究から学ぶこと(長期) (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":"Chemistry","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":[0.007564196,0.000498577,0.0004443619,0.003419965,0.004965736,0.006059377,0.001351044,0.002719973,0.01272316],"category_scores_gemma":[0.01127652,0.0002934892,0.0003956421,0.003673795,0.003685232,0.002048586,0.0009610531,0.002536674,0.002242238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0339362,"about_ca_system_score_gemma":0.1139421,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8150318,"about_ca_topic_score_gemma":0.8970019,"domain_scores_codex":[0.9924028,0.0006072574,0.0003005838,0.0002809795,0.005120469,0.001287962],"domain_scores_gemma":[0.9912238,0.001520501,0.0003574676,0.0001940725,0.006261817,0.0004423701],"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":[0.00007176337,0.00002563271,0.001025638,0.002013459,0.00005437184,0.0001528663,0.0008050299,0.0003054689,0.0008249121,0.255622,0.5940946,0.1450042],"study_design_scores_gemma":[0.00001029961,0.000007981289,0.001750693,0.0004979819,0.00003070689,0.0000500899,0.0004505272,0.00004361621,0.0003085174,0.004145716,0.9926897,0.00001421237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005681258,0.2705243,0.001431082,0.1828314,0.009390567,0.0001626652,0.0008153054,0.00008226772,0.5290811],"genre_scores_gemma":[0.2821428,0.2945688,0.005620685,0.07126616,0.004069515,0.0002536028,0.0008103352,0.0001127621,0.3411554],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8150318,"threshold_uncertainty_score":0.372115,"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."}}