{"id":"W2991229758","doi":"10.14740/jocmr4026","title":"Measuring Sleep Quality and Efficiency With an Activity Monitoring Device in Comparison to Polysomnography","year":2019,"lang":"en","type":"article","venue":"Journal of Clinical Medicine Research","topic":"Sleep and related disorders","field":"Psychology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Polysomnography; Sleep (system call); Medicine; Sleep quality; Pittsburgh Sleep Quality Index; Confidence interval; Sleep Stages; Daytime; Physical therapy; Audiology; Insomnia; Internal medicine; Electroencephalography; Psychiatry; Computer science","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":[0.001818873,0.0004159408,0.0003733115,0.00111199,0.0001416229,0.00058028,0.0002456218,0.0003563805,0.001564153],"category_scores_gemma":[0.005601063,0.00009146547,0.0004755791,0.0009187383,0.0002132862,0.0003983763,0.0004128367,0.0002019767,0.0002397298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001961699,"about_ca_system_score_gemma":0.0001594015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006756922,"about_ca_topic_score_gemma":0.0008912651,"domain_scores_codex":[0.9980557,0.0008050763,0.0002436634,0.0002422181,0.0005989829,0.00005443147],"domain_scores_gemma":[0.9962803,0.001751021,0.0009611796,0.0002012437,0.0006580242,0.0001481876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001813855,0.0001577478,0.8430118,0.0007627747,0.0008691283,0.000109925,0.0005111888,0.0004949243,0.01094706,0.0001395392,0.0004077809,0.1407743],"study_design_scores_gemma":[0.0000279795,0.001266942,0.99432,0.00006888135,0.0002186162,0.000500965,0.0001860574,0.0009052764,0.001547591,0.00007735925,0.0008670722,0.00001312436],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981997,0.006359935,0.006303787,0.0001695496,0.0001360986,0.0001381661,0.0008217764,0.00005787922,0.004015873],"genre_scores_gemma":[0.9935203,0.001124543,0.004204771,0.0000735018,0.0001046044,0.00009770672,0.0003898793,0.000008323426,0.0004764105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001818873,"threshold_uncertainty_score":0.009619176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4253786300187509,"score_gpt":0.596989107578794,"score_spread":0.1716104775600431,"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."}}