{"id":"W4224443395","doi":"10.1002/hsr2.608","title":"Sleep monitoring challenges in patients with neurocognitive disorders: A cross‐sectional analysis of missing data from activity trackers","year":2022,"lang":"en","type":"article","venue":"Health Science Reports","topic":"Sleep and related disorders","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Toronto; McMaster University","funders":"","keywords":"Neurocognitive; Medicine; Sleep (system call); Odds ratio; Confidence interval; Population; Activity tracker; Psychiatry; Clinical psychology; Physical therapy; Cognition; Physical activity; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001325037,0.0001256262,0.0002910588,0.0006663204,0.0005242926,0.00002730387,0.0003093347,0.0000440646,0.0001405008],"category_scores_gemma":[0.00007314425,0.0001176002,0.00004805738,0.002305138,0.000313858,0.0003606392,0.0001968435,0.0003492,8.817776e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001555214,"about_ca_system_score_gemma":0.0002882976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003133337,"about_ca_topic_score_gemma":0.0003244067,"domain_scores_codex":[0.9970923,0.0001355677,0.0004653601,0.001004735,0.0008600627,0.0004419827],"domain_scores_gemma":[0.9983327,0.0001041695,0.0006234081,0.0007212881,0.00007783501,0.0001406133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001385167,0.0007844775,0.9565914,0.000005992844,0.000175856,0.00002679848,0.002279712,0.001487611,0.000004587371,0.000002732078,0.000002660995,0.03849969],"study_design_scores_gemma":[0.0005524729,0.0001648259,0.9964094,0.00001088427,0.00007387278,0.000006394046,0.001704418,0.0008730216,0.000003690426,0.00004544183,0.00004235945,0.0001131858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968987,0.0007109231,0.00005107267,0.0002123161,0.0008994086,0.0003191295,0.00005001739,0.0000257804,0.0008326657],"genre_scores_gemma":[0.9997187,0.00005270762,0.00007340401,0.00003069111,0.0000158879,0.00003217534,0.00006143504,0.00001086968,0.000004116636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03981807,"threshold_uncertainty_score":0.4795595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08925944834241283,"score_gpt":0.3893156916043998,"score_spread":0.300056243261987,"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."}}