{"id":"W4390192460","doi":"10.1002/alz.076469","title":"Scalable Multi‐Sensor At Home Assessment of Sleep and Activity in Adults At High Risk for Dementia","year":2023,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Sleep and related disorders","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut Universitaire de Gériatrie de Montréal; Baycrest Hospital; Université de Montréal; Canadian Sleep & Circadian Network; Hôpital du Sacré-Cœur de Montréal; Concordia University; Western University; University of Toronto; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Health Sciences Centre; University of British Columbia Hospital; Sunnybrook Health Science Centre","funders":"","keywords":"Actigraphy; Dementia; Electroencephalography; Physical medicine and rehabilitation; Sleep (system call); Medicine; Psychological intervention; Physical therapy; Wearable computer; Audiology; Psychology; Psychiatry; Insomnia; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005156983,0.0004522076,0.0005357123,0.0007707734,0.0002902054,0.0004185977,0.0003644789,0.0003855109,0.001333041],"category_scores_gemma":[0.001316257,0.0001776714,0.0003104358,0.0006041972,0.00007731785,0.0003093504,0.0005547783,0.0002742797,0.000334147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002174652,"about_ca_system_score_gemma":0.0002937994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008812242,"about_ca_topic_score_gemma":0.0197248,"domain_scores_codex":[0.9996674,0.000130479,0.00004463767,0.00007548532,0.00004854744,0.00003348925],"domain_scores_gemma":[0.99942,0.00009551102,0.0001123374,0.00004285002,0.0001923167,0.0001369887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002039608,0.001355587,0.8844433,0.0003223382,0.0002507733,0.0001958112,0.0005169532,0.0008587635,0.005634769,0.00003752046,0.003338794,0.1010058],"study_design_scores_gemma":[0.0002286989,0.001520046,0.988216,0.00005285635,0.0001372791,0.0002903451,0.0005207887,0.006485592,0.001370529,0.0001140241,0.00103429,0.00002947035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921103,0.000342943,0.002568928,0.0001102859,0.00002698102,0.0003085129,0.003067971,0.0001509519,0.00131311],"genre_scores_gemma":[0.9908715,0.0002301482,0.006110962,0.0001099446,0.0000439207,0.0004817111,0.001617278,0.00000620684,0.0005283221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008812242,"threshold_uncertainty_score":0.01752192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02151929378180481,"score_gpt":0.3047135818085716,"score_spread":0.2831942880267667,"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."}}