{"id":"W2904866977","doi":"10.1016/j.mbs.2018.12.008","title":"3D simulation of solutes concentration in urinary concentration mechanism in rat renal medulla","year":2018,"lang":"en","type":"article","venue":"Mathematical Biosciences","topic":"Urinary Bladder and Prostate Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; Toronto Metropolitan University","funders":"","keywords":"Plasma osmolality; Chemistry; Tubular fluid; Medulla; Urinary system; Osmotic concentration; Kidney; Proximal tubule; Endocrinology; Biochemistry; Biology; Sodium","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007418494,0.0000862563,0.0002086487,0.00009745212,0.00004856757,0.00002173922,0.00008993265,0.00006748024,0.0002867118],"category_scores_gemma":[0.0003134125,0.00006505632,0.00002610133,0.0004917758,0.0004148592,0.0001949435,0.00002665787,0.00009553113,0.0000263125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004469688,"about_ca_system_score_gemma":0.0001367351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001497324,"about_ca_topic_score_gemma":0.00001216064,"domain_scores_codex":[0.9985938,0.00008760176,0.0003862811,0.0002141144,0.000454894,0.0002633131],"domain_scores_gemma":[0.9994133,0.000230427,0.00006447756,0.0001218593,0.00009278783,0.00007716328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001470067,0.004094826,0.03328907,0.001214736,0.00003217907,0.000175748,0.01843978,0.0004927036,0.845309,0.07962932,0.00009953115,0.01575303],"study_design_scores_gemma":[0.002020321,0.003474993,0.01038889,0.0006150535,0.00001965902,0.00004267094,0.0009893765,0.6562217,0.2688952,0.0570434,0.00007322717,0.0002154625],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881858,0.000073524,0.004494237,0.0007080158,0.00007165228,0.0005490434,0.000002676622,0.00001689199,0.005898216],"genre_scores_gemma":[0.9976145,0.00002072122,0.002165447,0.00005147657,0.00004579292,0.00001068554,0.00000594326,0.000004152174,0.00008129205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.655729,"threshold_uncertainty_score":0.3139293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04480509767707593,"score_gpt":0.3518526388683512,"score_spread":0.3070475411912753,"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."}}