{"id":"W3209900067","doi":"10.2196/29027","title":"Patient-Generated Data Analytics of Health Behaviors of People Living With Type 2 Diabetes: Scoping Review","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McMaster University; University of Toronto; University Health Network","funders":"","keywords":"Inclusion (mineral); Analytics; Thematic analysis; Data science; Descriptive statistics; Type 2 diabetes; Computer science; Inclusion and exclusion criteria; Data analysis; Gerontology; Psychology; Applied psychology; Medicine; Data mining; Diabetes mellitus; Qualitative research; Alternative medicine; Social psychology; Mathematics; Social science; Sociology; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.02291664,0.001549821,0.004424066,0.02309404,0.001284449,0.005738095,0.002757038,0.003893552,0.003780577],"category_scores_gemma":[0.1359774,0.001199206,0.005968541,0.02352509,0.001695198,0.004807697,0.003177756,0.002200769,0.000628405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004810613,"about_ca_system_score_gemma":0.02681225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01237815,"about_ca_topic_score_gemma":0.01751066,"domain_scores_codex":[0.9797259,0.008601241,0.006996838,0.001197216,0.003083229,0.0003957029],"domain_scores_gemma":[0.8224127,0.1516041,0.01159401,0.002399216,0.0113869,0.0006030948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001105083,0.00005892602,0.001668621,0.8456993,0.002544272,0.0001574565,0.001472154,0.0004000436,0.0001578972,0.001814993,0.005092549,0.1408233],"study_design_scores_gemma":[0.00002294121,0.00006816679,0.001637809,0.9587571,0.004641959,0.0001758346,0.0007031635,0.0001333933,0.000151528,0.0005932923,0.03308716,0.00002770367],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009584965,0.9944909,0.0006813307,0.001089361,0.0002576621,0.0006344339,0.0007503549,0.00001868749,0.001118921],"genre_scores_gemma":[0.01000155,0.9854708,0.00174105,0.00073288,0.0001340163,0.001196041,0.0005690891,0.0000110309,0.0001436512],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02309404,"threshold_uncertainty_score":0.1211963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08952888008883408,"score_gpt":0.4379180792193935,"score_spread":0.3483891991305594,"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."}}