{"id":"W2546141706","doi":"10.1111/hdi.12489","title":"Hyperprolactinemia in end‐stage renal disease and effects of frequent hemodialysis","year":2016,"lang":"en","type":"article","venue":"Hemodialysis International","topic":"Growth Hormone and Insulin-like Growth Factors","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"NIH Clinical Center; National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Prolactin; Hemodialysis; Medicine; Internal medicine; Dialysis; End stage renal disease; Endocrinology; Hormone","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000215911,0.0002010134,0.0004337326,0.0005266438,0.00002764839,0.00001413967,0.0001432862,0.00009311175,0.0004473178],"category_scores_gemma":[0.0006593016,0.000142513,0.0002142345,0.0002455512,0.0001271402,0.0001997026,0.0000795595,0.0001277582,0.00002358871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00016319,"about_ca_system_score_gemma":0.0001112363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009642635,"about_ca_topic_score_gemma":0.00001441389,"domain_scores_codex":[0.9982824,0.00006090682,0.0004955166,0.0003945071,0.0005374657,0.0002291774],"domain_scores_gemma":[0.9988315,0.0003090974,0.0001688227,0.0002985292,0.0001457136,0.0002463155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001074266,0.000343802,0.6800013,0.0001350776,0.0005094798,0.0002492199,0.0002594104,0.000005085437,0.2929475,0.0008219551,0.0004449243,0.023208],"study_design_scores_gemma":[0.006726258,0.0001656425,0.8471892,0.0003711604,0.0005128002,0.00002061211,0.0000318706,0.0007587239,0.1398111,0.0006714533,0.003399736,0.0003414765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953748,0.0002512338,0.0007536315,0.001587237,0.0002070693,0.0002350143,0.00004920131,0.00002913969,0.001512658],"genre_scores_gemma":[0.997692,0.0002689459,0.0005067225,0.0003222005,0.0001994014,0.00004394337,0.00005415877,0.0000211903,0.0008913918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1671879,"threshold_uncertainty_score":0.5811511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008888990924195244,"score_gpt":0.2437647798135944,"score_spread":0.2348757888893991,"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."}}