{"id":"W2066861937","doi":"10.1053/ajkd.2001.24537","title":"A patient with partial central diabetes insipidus: Clarifying pathophysiology and designing treatment","year":2001,"lang":"en","type":"article","venue":"American Journal of Kidney Diseases","topic":"Electrolyte and hormonal disorders","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Hôpital du Sacré-Cœur de Montréal; St. Michael's Hospital","funders":"","keywords":"Polyuria; Medicine; Urine osmolality; Vasopressin; Diabetes insipidus; Plasma osmolality; Hypernatremia; Osmole; Endocrinology; Hypertonic saline; Internal medicine; Thirst; Urine sodium; Pathophysiology; Nephrogenic diabetes insipidus; Antidiuretic; Desmopressin; Polydipsia; Urine; Natriuresis; Excretion; Sodium; Diabetes mellitus; Chemistry","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":[0.00002564905,0.0001565374,0.0004296694,0.00009936545,0.00007116484,0.00001636517,0.00003425914,0.00002036972,0.00001949167],"category_scores_gemma":[0.0001357178,0.000100643,0.0001099763,0.0001552731,0.0002189014,0.00009415787,0.000009994761,0.000117963,8.841353e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006040717,"about_ca_system_score_gemma":0.0004844251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002769956,"about_ca_topic_score_gemma":0.000001070084,"domain_scores_codex":[0.9990281,0.0000755425,0.0002417412,0.0001396639,0.0001764647,0.0003384615],"domain_scores_gemma":[0.9985725,0.00006662703,0.000245867,0.00008729065,0.00007553618,0.0009522268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003896033,0.0009150557,0.6748148,0.00002567673,0.0006443324,0.0007993415,0.0007426272,0.00003918041,0.02926309,0.0000165571,0.0008085293,0.2880348],"study_design_scores_gemma":[0.009570003,0.07960401,0.8827798,0.0007424492,0.002870322,0.001033449,0.004243752,0.0003371827,0.005379674,0.0003767434,0.01242074,0.0006418853],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960859,0.001820543,0.0001041203,0.001733098,0.00001927253,0.0001130598,0.000008424945,0.00001216054,0.0001034043],"genre_scores_gemma":[0.9936457,0.001604734,0.000583549,0.003973085,0.0001515777,0.000007206611,0.000009647141,0.00001749168,0.000006998051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2873929,"threshold_uncertainty_score":0.41041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005954852820359378,"score_gpt":0.2261807238400655,"score_spread":0.2202258710197062,"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."}}