{"id":"W4200092892","doi":"10.1002/cphy.c210021","title":"Anatomophysiology of the Henle's Loop: Emphasis on the Thick Ascending Limb","year":2021,"lang":"en","type":"article","venue":"Comprehensive physiology","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Emphasis (telecommunications); Loop of Henle; Loop (graph theory); Anatomy; Chemistry; Biology; Computer science; Telecommunications; Mathematics; Endocrinology; Combinatorics; Nephron; Kidney","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002325671,0.0001853574,0.0004586503,0.00002962083,0.0001562594,0.000003853017,0.000190529,0.0001134434,0.0003433821],"category_scores_gemma":[0.0001704813,0.00008983509,0.0002879782,0.0002559978,0.0003768602,0.00001294301,0.0002224873,0.0003175396,0.00007295417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001691463,"about_ca_system_score_gemma":0.00005678567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001096835,"about_ca_topic_score_gemma":0.000002176803,"domain_scores_codex":[0.9986578,0.0003574986,0.0002097197,0.0003719277,0.0001328742,0.0002702142],"domain_scores_gemma":[0.9982924,0.0006626532,0.0001171939,0.0006685592,0.0002094468,0.00004968551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006576832,0.0009945913,0.00427389,0.00006368828,0.0004015211,0.00009551859,0.000131779,0.00006663405,0.9776127,0.009213425,0.004214443,0.002274154],"study_design_scores_gemma":[0.001856514,0.001626846,0.89448,0.00006572436,0.0001679221,0.00004835005,0.0004563018,0.0001123368,0.07632186,0.02121741,0.003481295,0.0001653677],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887154,0.0005348594,0.000002677632,0.008558851,0.0003362397,0.0002678868,0.000010437,0.00002301866,0.001550635],"genre_scores_gemma":[0.9791783,0.0002075144,0.00001850843,0.02027047,0.00006652425,0.0000213811,0.00001553193,0.00001444677,0.0002073248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9012908,"threshold_uncertainty_score":0.3759793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04407976539361828,"score_gpt":0.294516698554755,"score_spread":0.2504369331611367,"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."}}