{"id":"W3010400771","doi":"10.25300/misq/2020/15108","title":"IT-Enabled Self-Monitoring for Chronic Disease Self-Management: An Interdisciplinary Review","year":2020,"lang":"en","type":"article","venue":"MIS Quarterly","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Wearable computer; Wearable technology; Chronic disease; Computer science; Disease monitoring; Disease; Medicine; Risk analysis (engineering); Engineering; Knowledge management; Embedded system; Intensive care medicine; Pathology","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":[0.005624315,0.001009357,0.002101533,0.006394998,0.0008451939,0.003574776,0.001377308,0.00245381,0.004035524],"category_scores_gemma":[0.01787519,0.0005418753,0.002247809,0.008523419,0.001367253,0.00349329,0.001968063,0.002010794,0.0006909249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002393955,"about_ca_system_score_gemma":0.008460922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004621946,"about_ca_topic_score_gemma":0.008686418,"domain_scores_codex":[0.9971105,0.001035212,0.0007429754,0.000300477,0.0006691635,0.0001415951],"domain_scores_gemma":[0.9712663,0.02412033,0.001813883,0.0002854429,0.002106756,0.0004072286],"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":[0.00009375635,0.000126633,0.001374919,0.2266401,0.0007239774,0.0001143904,0.0008593822,0.0003148885,0.0001947236,0.005763534,0.01059667,0.7531971],"study_design_scores_gemma":[0.00004734928,0.0002612601,0.009102372,0.5139698,0.003705305,0.001216167,0.001654987,0.0003993399,0.0003529867,0.004216155,0.4649884,0.0000858103],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001212573,0.9991862,0.00005740283,0.0002783219,0.00007612463,0.000007254111,0.000005963599,0.000001790628,0.0002656415],"genre_scores_gemma":[0.001818393,0.9976403,0.0001621093,0.0002210012,0.00009014276,0.00001519122,0.000009443263,0.00000162477,0.00004183034],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006394998,"threshold_uncertainty_score":0.02974457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04715266818277238,"score_gpt":0.4429695301397256,"score_spread":0.3958168619569532,"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."}}