{"id":"W3127200664","doi":"10.1007/s41666-020-00087-z","title":"Scoping Review of Healthcare Literature on Mobile, Wearable, and Textile Sensing Technology for Continuous Monitoring","year":2021,"lang":"en","type":"article","venue":"Journal of Healthcare Informatics Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"International Collaboration On Repair Discoveries; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Wearable computer; Health care; Continuous monitoring; Psychological intervention; Wearable technology; Health technology; Computer science; Medical diagnosis; Medicine; Engineering; Operations management; Nursing; Embedded system","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":[0.01115159,0.001412786,0.003395838,0.01574575,0.001187503,0.005196372,0.002166318,0.003650479,0.005612165],"category_scores_gemma":[0.04595884,0.0008826779,0.004111567,0.01388372,0.001923175,0.003423371,0.002267526,0.002043953,0.001033409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002562417,"about_ca_system_score_gemma":0.01308709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007858268,"about_ca_topic_score_gemma":0.01423928,"domain_scores_codex":[0.9922161,0.001871975,0.003140165,0.0008015818,0.001693723,0.0002765687],"domain_scores_gemma":[0.935158,0.05049776,0.006036002,0.0008327097,0.007038802,0.0004368526],"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":[0.0002943689,0.0001167254,0.00182659,0.5891469,0.001914068,0.0002857184,0.0009930258,0.0002355598,0.001025102,0.002069419,0.01026991,0.3918227],"study_design_scores_gemma":[0.00004576478,0.0002039323,0.003876497,0.8714349,0.007082661,0.0006799115,0.001199329,0.0001490014,0.0005827346,0.001498331,0.113207,0.00003991972],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005191119,0.9973648,0.0002373434,0.0007466298,0.0001873838,0.00006231618,0.0001109365,0.000005711562,0.0007657919],"genre_scores_gemma":[0.004512327,0.9932489,0.0006125896,0.0009057235,0.000240004,0.0001297799,0.0001505338,0.00000612438,0.0001939686],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01574575,"threshold_uncertainty_score":0.05897599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1184206257967176,"score_gpt":0.5484974127628792,"score_spread":0.4300767869661616,"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."}}