{"id":"W7122811681","doi":"10.1093/ibd/izaf313","title":"Timing is Everything: Lessons Learned for Building Microbiome-Based Models in Pediatric Crohn’s Disease","year":2025,"lang":"en","type":"article","venue":"Inflammatory Bowel Diseases","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Izaak Walton Killam Health Centre; Dalhousie University","funders":"Canadian Institutes of Health Research; Canadian Association of Gastroenterology; Crohn's and Colitis Foundation of America","keywords":"Disease; MEDLINE; Disease management","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004731869,0.001480794,0.001674322,0.001445829,0.0006493027,0.003135486,0.002933052,0.001549381,0.005759583],"category_scores_gemma":[0.01557147,0.0008514504,0.002098143,0.0008659278,0.001340743,0.003900908,0.002643387,0.004642225,0.001244747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001557294,"about_ca_system_score_gemma":0.001706303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007258206,"about_ca_topic_score_gemma":0.005637632,"domain_scores_codex":[0.9984267,0.001011679,0.0001058722,0.0001642548,0.0002124898,0.0000790298],"domain_scores_gemma":[0.9930326,0.004844354,0.0004204922,0.0006637306,0.0005294846,0.0005093719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002862111,0.0003489064,0.01009363,0.0008828002,0.0004518717,0.0005641226,0.0006752729,0.5160205,0.003097331,0.3296466,0.0105115,0.1274212],"study_design_scores_gemma":[0.00005829753,0.0001630333,0.001280936,0.000596774,0.00009517696,0.0001987461,0.0001620332,0.5854224,0.0005432275,0.3832319,0.02814621,0.0001012811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02514889,0.02075417,0.9291635,0.01019346,0.001216504,0.000190201,0.00119651,0.0009858713,0.01115086],"genre_scores_gemma":[0.2527609,0.02936757,0.7064723,0.001845185,0.001833753,0.0008444594,0.00182176,0.0008509612,0.004203214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007258206,"threshold_uncertainty_score":0.02502477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02143518205148916,"score_gpt":0.2877442848307628,"score_spread":0.2663091027792737,"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."}}