{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006219023,0.0006058979,0.0005006946,0.001150598,0.0003721091,0.0008617206,0.0007313445,0.0003954153,0.001169773],"category_scores_gemma":[0.01101745,0.0003236027,0.001278156,0.0007451319,0.000236658,0.0003490326,0.0007587402,0.001129759,0.0002629594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005909089,"about_ca_system_score_gemma":0.0007383223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01730898,"about_ca_topic_score_gemma":0.01006342,"domain_scores_codex":[0.9991134,0.0004842571,0.00005108677,0.0001628214,0.00009913134,0.00008933285],"domain_scores_gemma":[0.9895496,0.006898906,0.001448708,0.001029753,0.0006087584,0.0004641783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003262985,0.00004089608,0.9926122,0.0000101388,0.0001934719,0.000072531,0.00006475882,0.003534088,0.00003632366,0.00006910865,0.0005051256,0.002534963],"study_design_scores_gemma":[0.0001381819,0.0003553586,0.9227817,0.0000370708,0.0003730042,0.0004691702,0.000386794,0.07361729,0.0001984039,0.0005609848,0.00105266,0.00002935681],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971412,0.0001496612,0.001222186,0.00009517273,0.000009037619,0.00001415136,0.001175971,0.00002735303,0.0001652781],"genre_scores_gemma":[0.9948195,0.0001283218,0.001576881,0.0000159836,0.00001142598,0.00003318881,0.003212071,0.00001370225,0.0001890166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01730898,"threshold_uncertainty_score":0.03441644,"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."}}