{"id":"W4224555021","doi":"10.1053/j.gastro.2022.04.030","title":"Prediction Models for Celiac Disease Development in Children From High-Risk Families: Data From the PreventCD Cohort","year":2022,"lang":"en","type":"article","venue":"Gastroenterology","topic":"Celiac Disease Research and Management","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Komitet Badań Naukowych; Instituto de Salud Carlos III; Azrieli Foundation; Hungarian Scientific Research Fund; European Commission","keywords":"Medicine; Cohort; Proportional hazards model; Cumulative incidence; Incidence (geometry); Regression analysis; Disease; Internal medicine; Cohort study; Prospective cohort study; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004769025,0.000160167,0.0002582428,0.00009591829,0.0002008534,0.0000160511,0.000525378,0.00002466229,0.0003004699],"category_scores_gemma":[0.00007684057,0.0001311417,0.0000669868,0.00007930948,0.00005940682,0.00009779193,0.001176051,0.0002683575,0.00001067102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001921834,"about_ca_system_score_gemma":0.0001493626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001980464,"about_ca_topic_score_gemma":0.0004753108,"domain_scores_codex":[0.997865,0.0002482707,0.0003413857,0.0006467432,0.0004341824,0.0004644093],"domain_scores_gemma":[0.998605,0.00008540575,0.00009006232,0.0009653097,0.0000291807,0.000225028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003532804,0.0005176194,0.9683876,0.00001086789,0.0005845012,0.00001807062,0.0001059354,0.001605937,0.00001118913,0.00001412533,0.02246505,0.002746307],"study_design_scores_gemma":[0.003981387,0.0003085829,0.973694,0.00001765822,0.0003203882,0.000001965429,0.0001560412,0.01439959,0.000002969315,0.0006789516,0.006379048,0.00005946001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732182,0.0004878749,0.01097429,0.001591461,0.00019664,0.002380871,0.01109232,0.00004438869,0.00001392538],"genre_scores_gemma":[0.9691193,0.0004598518,0.0009665964,0.001002784,0.0001963119,0.001459764,0.02668035,0.00002528297,0.00008980287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.016086,"threshold_uncertainty_score":0.5347801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02588555001907044,"score_gpt":0.2575871998311931,"score_spread":0.2317016498121227,"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."}}