{"id":"W2884314383","doi":"10.3390/pr6070089","title":"A Multicellular Vascular Model of the Renal Myogenic Response","year":2018,"lang":"en","type":"article","venue":"Processes","topic":"Nitric Oxide and Endothelin Effects","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Institute for Mathematical and Biological Synthesis; National Institutes of Health; National Science Foundation","keywords":"Myogenic contraction; Autoregulation; Afferent arterioles; Tubuloglomerular feedback; Vascular smooth muscle; Neuroscience; Hemodynamics; Cell biology; Biophysics; Chemistry; Biology; Kidney; Internal medicine; Blood pressure; Endocrinology; Angiotensin II; Medicine; Smooth muscle","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001334152,0.000498338,0.0006255261,0.0003654153,0.0004837515,0.000855937,0.001280846,0.002073846,0.003311658],"category_scores_gemma":[0.0005020424,0.0003465364,0.0007155648,0.0004377872,0.000681613,0.0006924285,0.0009796522,0.0007647608,0.0003811909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007648538,"about_ca_system_score_gemma":0.0009227853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008575397,"about_ca_topic_score_gemma":0.003465394,"domain_scores_codex":[0.9998837,0.00002567859,0.000006308523,0.00003829604,0.00002611872,0.0000199783],"domain_scores_gemma":[0.999817,0.00004991564,0.00003812477,0.00001761046,0.00003862902,0.00003878509],"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":[0.00004574228,0.00004685963,0.0005135508,0.00004670482,0.00002396897,0.0002066625,0.00006713677,0.9668103,0.01163745,0.01842657,0.0003626733,0.001812455],"study_design_scores_gemma":[0.00001467865,0.00001863054,0.0002369046,0.000003881737,0.000008763836,0.00002987559,0.00001186014,0.9968138,0.0003064493,0.00167681,0.0008705344,0.000007816006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4403451,0.002060008,0.4857529,0.002284867,0.0004083536,0.0001701765,0.002044676,0.0006444769,0.06628944],"genre_scores_gemma":[0.9497977,0.0008435434,0.02841406,0.0002260193,0.00008246327,0.0002571668,0.0003617223,0.00007956119,0.01993778],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008575397,"threshold_uncertainty_score":0.01705098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02195063661530837,"score_gpt":0.265736066680556,"score_spread":0.2437854300652476,"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."}}