{"id":"W4407284950","doi":"10.1093/jcag/gwae059.087","title":"A87 LEVERAGING DIGITAL HEALTH: SYMPTOM TRACKING IN PEDIATRIC IBD USING A SMARTPHONE APP FOR ENHANCED PATIENT-REPORTED OUTCOMES","year":2025,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Smartphone app; Digital health; Tracking (education); Smartphone application; mHealth; Mobile apps; Computer science; Medicine; Psychology; Multimedia; Internet privacy; Health care; World Wide Web; Nursing; Psychological intervention","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":[0.001541475,0.0002777072,0.000376628,0.0006883134,0.0002035409,0.000945497,0.0002619539,0.0004267378,0.003319028],"category_scores_gemma":[0.004934896,0.0001381035,0.0005824646,0.0004876091,0.0001310209,0.0006846577,0.0007292875,0.0003795348,0.0004662444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002062905,"about_ca_system_score_gemma":0.0004010488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005075258,"about_ca_topic_score_gemma":0.001169416,"domain_scores_codex":[0.9990995,0.0004561535,0.000105436,0.0001026104,0.0001625461,0.00007381848],"domain_scores_gemma":[0.9972791,0.001463624,0.0005938847,0.0001072989,0.0002911435,0.0002650154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002053877,0.002339054,0.3501883,0.002660798,0.0003236424,0.0006910162,0.002014068,0.0005876985,0.005798463,0.0003295758,0.007689844,0.6253237],"study_design_scores_gemma":[0.0008213306,0.01313968,0.9285663,0.00266483,0.001380841,0.003976529,0.002925345,0.01001681,0.007521272,0.0007235709,0.02806588,0.000197668],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827825,0.003434911,0.0057751,0.0008893741,0.0001067403,0.0005812703,0.001598516,0.0003108003,0.004520698],"genre_scores_gemma":[0.9782678,0.001994571,0.01711306,0.0003739376,0.0001077487,0.0008905996,0.0005720421,0.00001607199,0.0006641367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003319028,"threshold_uncertainty_score":0.01110327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02727072952493887,"score_gpt":0.3580103350576696,"score_spread":0.3307396055327307,"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."}}