{"id":"W4323350729","doi":"10.1093/jcag/gwac036.218","title":"A218 ASSOCIATIONS BETWEEN ADHERENCE TO LITERATURE-DERIVED DIETARY INDICES AND PRE-DISEASE BIOMARKERS: IMPLICATIONS FOR CROHN’S DISEASE PREVENTION","year":2023,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Ottawa; University of British Columbia; Hospital for Sick Children; University of Calgary; University of Alberta; McMaster University; University of Toronto","funders":"","keywords":"Calprotectin; Faecal calprotectin; Medicine; Internal medicine; Gastroenterology; Crohn's disease; Lactulose; Mediterranean diet; Inflammatory bowel disease; Feces; Subclinical infection; Intestinal permeability; Disease; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00182871,0.0003616757,0.0005289334,0.0009039187,0.0004001649,0.000943262,0.0004732298,0.0005876581,0.0042028],"category_scores_gemma":[0.008121466,0.000175629,0.0008045412,0.001812828,0.000239991,0.0003925454,0.0004446575,0.0007075553,0.0002911121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003073941,"about_ca_system_score_gemma":0.00040966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006428167,"about_ca_topic_score_gemma":0.006607504,"domain_scores_codex":[0.9987551,0.0006137219,0.0001466481,0.0002196407,0.0001319003,0.0001329214],"domain_scores_gemma":[0.9939404,0.002042751,0.002416788,0.000473565,0.0006940283,0.000432585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001301021,0.00006223398,0.9955108,0.0000328927,0.0001913674,0.00002386666,0.00003448954,0.00005847697,0.000149342,0.00002971273,0.0002160746,0.003560581],"study_design_scores_gemma":[0.00000837164,0.0001032943,0.9987342,0.00002178432,0.00009338532,0.00006222755,0.00008143154,0.0004126288,0.00004818181,0.00008051116,0.0003506383,0.000003429292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947159,0.001689775,0.0005500285,0.0006448186,0.00003939183,0.00001331843,0.001274898,0.0000139982,0.001057977],"genre_scores_gemma":[0.9980242,0.0002592578,0.0006230053,0.0001031374,0.00004007103,0.00001649104,0.0006383292,0.000003754185,0.0002917359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006428167,"threshold_uncertainty_score":0.01405978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01594363682913649,"score_gpt":0.2797598201033397,"score_spread":0.2638161832742032,"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."}}