{"id":"W3156076606","doi":"10.1093/jcag/gwab002.245","title":"A36 IMPACT OF DIGITAL HEALTH MONITORING IN THE MANAGEMENT OF INFLAMMATORY BOWEL DISEASE","year":2021,"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":"Mount Sinai Hospital; McMaster University Medical Centre; University of Toronto; McMaster University","funders":"","keywords":"Medicine; Inflammatory bowel disease; Health care; Quality of life (healthcare); Disease; Bowel management; Patient satisfaction; Disease management; Internal medicine; Physical therapy; Nursing","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":[0.003044362,0.0002167072,0.0002646637,0.0004262329,0.0003218963,0.001187913,0.0002328435,0.000385131,0.003991126],"category_scores_gemma":[0.01386324,0.00008521313,0.000580233,0.0004967802,0.0002569908,0.0006926843,0.0009065088,0.000630588,0.0001907566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006500187,"about_ca_system_score_gemma":0.0009010247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002207277,"about_ca_topic_score_gemma":0.002861081,"domain_scores_codex":[0.9967464,0.002204838,0.00018026,0.0001264617,0.0005377512,0.0002041971],"domain_scores_gemma":[0.9880549,0.007684927,0.001897261,0.0002665606,0.0009235638,0.001172808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003226837,0.003028862,0.2910775,0.001586266,0.0003943756,0.0002616379,0.0006923752,0.0008286639,0.001623195,0.0005199928,0.005104016,0.6916564],"study_design_scores_gemma":[0.0005627209,0.01303322,0.952715,0.00194835,0.0008480594,0.0007390447,0.001926828,0.003292367,0.001801253,0.0006029807,0.02247863,0.00005151897],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9553717,0.01803935,0.0007124295,0.009790579,0.000232294,0.000125097,0.0003382372,0.00006157938,0.01532872],"genre_scores_gemma":[0.9955027,0.00246127,0.0009798111,0.0004997215,0.0001355512,0.0000283311,0.0000636218,0.000003505021,0.0003256441],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.003991126,"threshold_uncertainty_score":0.01610035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005844675125326187,"score_gpt":0.2410908231279053,"score_spread":0.2352461480025791,"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."}}