{"id":"W4323532149","doi":"10.1371/journal.pone.0282739","title":"Cohort profile: Celiac disease genomic, environmental, microbiome and metabolome study; a prospective longitudinal birth cohort study of children at-risk for celiac disease","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Celiac Disease Research and Management","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pediatric Oncology Group","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Metabolome; Microbiome; Prospective cohort study; Cohort study; Disease; Cohort; Medicine; Metagenomics; Omics; Biomarker; Immunology; Internal medicine; Biology; Physiology; Bioinformatics; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001508396,0.0007705322,0.0006843295,0.0006383312,0.001637122,0.00120725,0.001001304,0.0009145357,0.003310457],"category_scores_gemma":[0.002422818,0.0006129651,0.0008733444,0.001634738,0.0002442005,0.000580899,0.001328864,0.002623883,0.001449232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00080138,"about_ca_system_score_gemma":0.001430388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02241393,"about_ca_topic_score_gemma":0.02733185,"domain_scores_codex":[0.9991659,0.0002024163,0.00006328386,0.0002689753,0.0001793297,0.0001201181],"domain_scores_gemma":[0.9979583,0.000115233,0.000300989,0.0003722114,0.0005352728,0.0007180031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003280794,0.00055331,0.9661036,0.0001806479,0.0007575656,0.0005904075,0.0004794992,0.0001786237,0.005202741,0.0004249957,0.01617951,0.006068304],"study_design_scores_gemma":[0.000475761,0.000434962,0.9882571,0.00008720172,0.0003437681,0.0007717687,0.0003100534,0.0003703821,0.0005346921,0.0001257174,0.008250246,0.00003832496],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8819069,0.0009882377,0.003221938,0.0009985216,0.0002474003,0.0009506778,0.1075564,0.0001533035,0.003976633],"genre_scores_gemma":[0.9033998,0.00122978,0.01030231,0.001428544,0.0002468892,0.002546817,0.07162613,0.0002364426,0.008983252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02241393,"threshold_uncertainty_score":0.04456693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02025944300432709,"score_gpt":0.2531179771547926,"score_spread":0.2328585341504655,"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."}}