{"id":"W3110077903","doi":"10.2196/16491","title":"Augmenting Critical Care Patient Monitoring Using Wearable Technology: Review of Usability and Human Factors","year":2020,"lang":"en","type":"review","venue":"JMIR Human Factors","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; European Commission","keywords":"Usability; Wearable computer; Wearable technology; Smartwatch; Health care; Human–computer interaction; Computer science; Patient safety; Vital signs; Medicine; Embedded system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00583866,0.001524974,0.003522474,0.008568521,0.0005556936,0.002123014,0.001495975,0.001673006,0.00219728],"category_scores_gemma":[0.013301,0.0007857318,0.0029227,0.006749345,0.0009627223,0.0023363,0.001181728,0.001025484,0.0004692627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001173221,"about_ca_system_score_gemma":0.003697595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003838253,"about_ca_topic_score_gemma":0.006117198,"domain_scores_codex":[0.9963587,0.001090795,0.001192887,0.0003514811,0.0008983944,0.0001077176],"domain_scores_gemma":[0.9759678,0.01920675,0.001764197,0.0002658677,0.002609483,0.0001858235],"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":[0.0001312446,0.0001113225,0.00101668,0.3742522,0.0007529489,0.0001456781,0.0005000914,0.0001957222,0.0006815261,0.0008090432,0.004591645,0.6168119],"study_design_scores_gemma":[0.0001125864,0.00164773,0.02259314,0.5945199,0.01201233,0.003687044,0.001795507,0.0005537426,0.001966629,0.002209484,0.358676,0.0002258882],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002640651,0.999169,0.000132539,0.00009444994,0.00005213817,0.00001631805,0.00002067148,0.000003492181,0.0002474132],"genre_scores_gemma":[0.002490935,0.9967506,0.0004440722,0.0001101208,0.00007100894,0.00003974403,0.00003013511,0.000002640059,0.00006077188],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008568521,"threshold_uncertainty_score":0.03087819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1638260016217241,"score_gpt":0.4624943756795578,"score_spread":0.2986683740578336,"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."}}