{"id":"W4379376248","doi":"10.2196/42750","title":"Knowledge Discovery in Ubiquitous and Personal Sleep Tracking: Scoping Review","year":2023,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Context (archaeology); Scopus; Sleep (system call); Computer science; Wearable computer; Tracking (education); Data science; mHealth; BitTorrent tracker; Activity tracker; Wearable technology; Health informatics; World Wide Web; Psychology; Eye tracking; MEDLINE; Health care; Artificial intelligence","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":[0.02269528,0.001804256,0.005539145,0.02606386,0.001546269,0.00698214,0.003786314,0.003926016,0.005233449],"category_scores_gemma":[0.1007614,0.001319674,0.005659312,0.02635712,0.002900622,0.007767824,0.004445946,0.002873686,0.001021876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006039167,"about_ca_system_score_gemma":0.02992663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008840567,"about_ca_topic_score_gemma":0.01335566,"domain_scores_codex":[0.98485,0.005677068,0.004654072,0.001324009,0.002980882,0.0005138663],"domain_scores_gemma":[0.840426,0.1375729,0.009686551,0.002461851,0.00907976,0.0007729503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008475724,0.00007112719,0.001080863,0.6154525,0.00219978,0.0004373871,0.001727783,0.0008989077,0.0002085303,0.006307881,0.008496718,0.3630339],"study_design_scores_gemma":[0.00002771662,0.00006110543,0.00102894,0.9087362,0.004547293,0.0004192212,0.001176947,0.0003833496,0.0002657356,0.004936723,0.07837652,0.00004033645],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000558282,0.9942878,0.001551499,0.001503644,0.0002202663,0.0002250238,0.0002227386,0.0000177638,0.001413019],"genre_scores_gemma":[0.006264952,0.9892066,0.002665566,0.0007083509,0.0001720936,0.0005080768,0.0002953568,0.000009464324,0.0001696147],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02606386,"threshold_uncertainty_score":0.1200255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1264462894348078,"score_gpt":0.4133676152558068,"score_spread":0.2869213258209989,"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."}}