{"id":"W4399378771","doi":"10.48550/arxiv.2405.20523","title":"Systems-level health of patients living with end-stage kidney disease using standard lab values","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"End-stage kidney disease; Stage (stratigraphy); Medicine; Kidney disease; Environmental science; Internal medicine; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007698173,0.0003002652,0.0002694234,0.0005941825,0.0001117267,0.0006304075,0.0002950688,0.0002756321,0.001887768],"category_scores_gemma":[0.004241523,0.00008739168,0.0004730774,0.0004888195,0.0002354283,0.0005399151,0.0005136257,0.0004456872,0.0001419272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005363017,"about_ca_system_score_gemma":0.0003551619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007080947,"about_ca_topic_score_gemma":0.005852632,"domain_scores_codex":[0.9997266,0.0001119242,0.00001427019,0.0000792902,0.00003483106,0.00003306238],"domain_scores_gemma":[0.9990634,0.0005370898,0.0001598671,0.00007696536,0.0001020355,0.00006066014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004635192,0.0001884482,0.5337809,0.0001498119,0.0007208571,0.000277695,0.0003093678,0.4127764,0.002602454,0.009480599,0.00183075,0.03741905],"study_design_scores_gemma":[0.00001569984,0.0001927655,0.1937084,0.00002060833,0.00007329026,0.00008745858,0.0001610979,0.7899607,0.0007346593,0.01409545,0.0009212773,0.00002862581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552332,0.0002273162,0.04002968,0.0007041203,0.0000213847,0.00003604006,0.002626901,0.00008050959,0.001040845],"genre_scores_gemma":[0.9953713,0.00006277601,0.00339654,0.00002318388,0.000009014782,0.00001649599,0.0008788003,0.000005960243,0.0002358904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007080947,"threshold_uncertainty_score":0.01407945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3942548785451799,"score_gpt":0.3203550369666917,"score_spread":0.07389984157848822,"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."}}