{"id":"W7161957027","doi":"10.82308/4642","title":"Derivation and validation of prediction equations for glomerular filtration rate in children","year":2005,"lang":"en","type":"dissertation","venue":"","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renal function; Linear regression; Measure (data warehouse); Cystatin C; Creatinine; Derivation; Gold standard (test); Bayesian probability; Regression","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.009194663,0.0006482521,0.0005536558,0.001270415,0.0002750246,0.000860073,0.0009524839,0.0004870015,0.0005962026],"category_scores_gemma":[0.04023695,0.0004178341,0.0006443936,0.0009506752,0.0003201981,0.0005597336,0.000756079,0.001212656,0.0004784427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001658675,"about_ca_system_score_gemma":0.002131154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03053902,"about_ca_topic_score_gemma":0.0181338,"domain_scores_codex":[0.9970037,0.001181754,0.000346481,0.0003163996,0.001042142,0.0001096114],"domain_scores_gemma":[0.9914179,0.003953903,0.0009947831,0.0005578382,0.00296372,0.0001117648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003073218,0.0001244413,0.8156906,0.0001152971,0.0002420347,0.0001984985,0.000573781,0.02232111,0.002077494,0.002326976,0.00369587,0.1523265],"study_design_scores_gemma":[0.0001927398,0.0004278204,0.7464706,0.0003145851,0.0003917895,0.0007724378,0.0002942941,0.227705,0.01107334,0.001823824,0.01043249,0.0001010383],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7950054,0.002388927,0.1929778,0.0005211035,0.0001656039,0.0005807035,0.003539131,0.0006955283,0.004125767],"genre_scores_gemma":[0.7317575,0.00171678,0.2610619,0.0001299767,0.00005343929,0.0004909215,0.003511548,0.0001461161,0.001131724],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03053902,"threshold_uncertainty_score":0.06072253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01065888701330758,"score_gpt":0.2771021453726404,"score_spread":0.2664432583593328,"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."}}