{"id":"W4386899754","doi":"10.2196/50983","title":"Accuracy of 11 Wearable, Nearable, and Airable Consumer Sleep Trackers: Prospective Multicenter Validation Study","year":2023,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Sleep and related disorders","field":"Psychology","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Seoul National University; Seoul National University Bundang Hospital","keywords":"Polysomnography; Actigraphy; BitTorrent tracker; Sleep (system call); Wearable computer; Computer science; Medicine; Insomnia; Eye tracking; Artificial intelligence; Embedded system; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007140047,0.0002179545,0.0003944265,0.0002780485,0.0003155785,0.00003124546,0.00009613518,0.0001906633,0.0001653635],"category_scores_gemma":[0.00007111713,0.000190632,0.0000393981,0.0006425697,0.0001473302,0.0001801264,0.00004232576,0.0003491342,0.0001270156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003844481,"about_ca_system_score_gemma":0.0001034147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001948861,"about_ca_topic_score_gemma":0.0001572727,"domain_scores_codex":[0.9977205,0.0003073777,0.0005598369,0.0005511486,0.0002235255,0.0006375601],"domain_scores_gemma":[0.9986639,0.0003055236,0.0003051925,0.0003134245,0.00009853456,0.0003134014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009667079,0.001930703,0.9149566,0.0006958094,0.0002510205,0.00001961856,0.03319081,0.00002882898,0.00001791127,0.0006326822,0.004582802,0.04272655],"study_design_scores_gemma":[0.008504094,0.001009069,0.9641263,0.00008203185,0.0002250027,0.00001070818,0.02356906,0.0005191748,0.00001945365,0.000275776,0.001416047,0.0002432209],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913805,0.003173108,0.00001547517,0.0008320545,0.0005037689,0.002176489,0.0000230537,0.0001456548,0.001749951],"genre_scores_gemma":[0.9965962,0.00212678,0.00005234273,0.0002919071,0.00004904757,0.0002083089,0.00001982872,0.00003445894,0.0006211025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04916981,"threshold_uncertainty_score":0.7773746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04378989265269666,"score_gpt":0.389058880481057,"score_spread":0.3452689878283603,"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."}}