{"id":"W4398233673","doi":"10.1093/ndt/gfae069.831","title":"#782 Latent profiles of patients undergoing maintenance hemodialysis based on hemodynamic indicators","year":2024,"lang":"en","type":"article","venue":"Nephrology Dialysis Transplantation","topic":"Statistical and Computational Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute; McGill University Health Centre; McGill University","funders":"","keywords":"Hemodynamics; Hemodialysis; Medicine; Intensive care medicine; Internal medicine; Cardiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00148735,0.0003302015,0.0004100538,0.001215859,0.0004693345,0.0009279621,0.0005608099,0.0002951318,0.003516599],"category_scores_gemma":[0.007417198,0.0001912542,0.001036654,0.001168368,0.0002751568,0.0004924033,0.0006764212,0.0005277907,0.0004543664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00130883,"about_ca_system_score_gemma":0.001519708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0211074,"about_ca_topic_score_gemma":0.01540922,"domain_scores_codex":[0.9992478,0.0001538409,0.00008629364,0.0002257839,0.0001224805,0.0001637526],"domain_scores_gemma":[0.996405,0.0008303714,0.001468026,0.0004300862,0.0004831406,0.0003834885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001164091,0.00003284711,0.9965724,0.000007615831,0.00004156768,0.00003716737,0.0000554087,0.0005472323,0.0001325073,0.00008708012,0.0002491757,0.002120728],"study_design_scores_gemma":[0.00001357769,0.0001279827,0.9810308,0.00001619776,0.0000474394,0.0001136584,0.0001757318,0.01749402,0.0002249983,0.0003213946,0.0004165765,0.00001757283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928625,0.00004937147,0.002941357,0.0001286457,0.000006896202,0.00005359498,0.003621778,0.00002686947,0.0003090323],"genre_scores_gemma":[0.9966817,0.00002204218,0.0007532813,0.00001431784,0.000005270997,0.00003803255,0.002307882,0.000003740663,0.0001737161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0211074,"threshold_uncertainty_score":0.04196912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00780697178200974,"score_gpt":0.2236235981520679,"score_spread":0.2158166263700582,"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."}}