{"id":"W2564940168","doi":"10.1111/micc.12342","title":"A computational model of the effect of capillary density variability on oxygen transport, glucose uptake, and insulin sensitivity in prediabetes","year":2016,"lang":"en","type":"article","venue":"Microcirculation","topic":"Hyperglycemia and glycemic control in critically ill and hospitalized patients","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Prediabetes; Glucose uptake; Internal medicine; Endocrinology; Insulin; Glucose transporter; Oxygen transport; Chemistry; Oxygen; Oxygenation; Medicine; Diabetes mellitus; Type 2 diabetes","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000256705,0.0003809221,0.0003841089,0.0002853865,0.0003455147,0.0007042761,0.0007102682,0.001058751,0.001225451],"category_scores_gemma":[0.001333194,0.0003748162,0.0005155012,0.0002451258,0.0005504398,0.0003247552,0.0004457898,0.0004645278,0.0001004387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007733897,"about_ca_system_score_gemma":0.0009438256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02135265,"about_ca_topic_score_gemma":0.006787058,"domain_scores_codex":[0.9998862,0.0000382954,0.000006070914,0.00002260332,0.00001924747,0.00002761367],"domain_scores_gemma":[0.9995236,0.0003101091,0.00006327622,0.00002223559,0.00004506503,0.00003571757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003307595,0.00002727591,0.001536694,0.000007181534,0.00000749785,0.00004247177,0.00001540789,0.9966426,0.0006741594,0.0003722052,0.00005271366,0.0005887457],"study_design_scores_gemma":[0.000007134964,0.00001141232,0.0004598585,0.000001903198,0.000003064925,0.000006977463,0.000005642466,0.9991388,0.0001465913,0.0001711237,0.00004510244,0.000002427753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9283568,0.000232742,0.06439102,0.0004073072,0.00004186315,0.00005352775,0.0004920197,0.0001529953,0.005871593],"genre_scores_gemma":[0.9942624,0.00008667743,0.004307443,0.00005560735,0.000008499052,0.00005627432,0.0001110063,0.00001653091,0.001095377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02135265,"threshold_uncertainty_score":0.04245675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008133791807286336,"score_gpt":0.2263225305286737,"score_spread":0.2181887387213873,"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."}}