{"id":"W3174545502","doi":"10.1096/fasebj.26.1_supplement.1142.12","title":"Mathematical Model of Mixed Venous SO <sub>2</sub> Transients at Onset of Exercise in Discrete Capillary Networks","year":2012,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Cardiovascular and exercise physiology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; National Institutes of Health","keywords":"Skeletal muscle; Capillary action; Blood flow; Venous blood; Intravital microscopy; Chemistry; Outflow; Diffusion; Steady state (chemistry); Biomedical engineering; Anatomy; Microcirculation; Cardiology; Mechanics; Internal medicine; Medicine; Physics; Thermodynamics","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":[0.0002761305,0.0004383718,0.0004659744,0.00038469,0.0004111794,0.0007995127,0.00097469,0.001364125,0.002441362],"category_scores_gemma":[0.0007057727,0.0004213385,0.0006644796,0.0002244994,0.0007624043,0.0007746713,0.0005448898,0.0007035271,0.0002951174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587446,"about_ca_system_score_gemma":0.001004908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01527528,"about_ca_topic_score_gemma":0.006560084,"domain_scores_codex":[0.9998914,0.00001978377,0.000004086984,0.00003018398,0.00002654324,0.0000280306],"domain_scores_gemma":[0.9997416,0.0001151414,0.00005013103,0.000009288886,0.00005296902,0.00003089302],"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":[0.00002433903,0.00001943584,0.0006255835,0.00002601322,0.000008981006,0.0001237325,0.00004858513,0.9830076,0.005409195,0.00948992,0.000201726,0.001014885],"study_design_scores_gemma":[0.000003494156,0.00000669476,0.00008357974,0.000001822093,0.000002225473,0.000009602155,0.000005445911,0.9989955,0.0001945327,0.0005553412,0.0001397063,0.000002094858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2952038,0.0007774225,0.677489,0.0009987573,0.0001008677,0.0001237913,0.0006412183,0.0004143763,0.02425077],"genre_scores_gemma":[0.9651614,0.0004119064,0.01502397,0.0001329154,0.00002096095,0.0002880511,0.000165729,0.0000574579,0.01873763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01527528,"threshold_uncertainty_score":0.03037274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01529646061310557,"score_gpt":0.2359109345498594,"score_spread":0.2206144739367538,"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."}}