{"id":"W4249032706","doi":"10.2196/preprints.16371","title":"Feasibility of In-Home Sensor Monitoring to Detect Mild Cognitive Impairment in Aging Military Veterans: Prospective Observational Study (Preprint)","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geriatric Depression Scale; Dementia; Medicine; Depression (economics); Geriatrics; Anxiety; Activities of daily living; Clinical Dementia Rating; Gerontology; Population; Rating scale; Physical therapy; Cognition; Cognitive impairment; Psychology; Psychiatry; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001521948,0.0004350067,0.0003106543,0.0004190778,0.0005168341,0.0006886146,0.0004335261,0.0006856799,0.0009047679],"category_scores_gemma":[0.002886611,0.000419298,0.0007583393,0.000494108,0.0002096145,0.0005042634,0.0004724555,0.0007090282,0.0004016839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003471733,"about_ca_system_score_gemma":0.0004812672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01131233,"about_ca_topic_score_gemma":0.0147204,"domain_scores_codex":[0.9994692,0.0002012309,0.00006433136,0.0001182896,0.00007788194,0.00006899695],"domain_scores_gemma":[0.9988521,0.0001553335,0.0004017626,0.0001705766,0.000202219,0.0002179898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005088187,0.0003560207,0.9967903,0.00002456345,0.0001773403,0.00003292018,0.0001421816,0.00002547752,0.0002153192,0.000008544568,0.0002363468,0.001482101],"study_design_scores_gemma":[0.00005962059,0.0007426104,0.9984601,0.000009494513,0.00007776873,0.00005426622,0.0001845364,0.0001631615,0.00005117197,0.00000970446,0.0001825401,0.000005134905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988594,0.0001083029,0.0001251707,0.00003035207,0.000011857,0.00006143004,0.0005570499,0.000004723362,0.0002417748],"genre_scores_gemma":[0.9986959,0.00008395148,0.0002653215,0.00007492493,0.00002348941,0.00008358098,0.0005955028,0.000002659013,0.0001745977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01131233,"threshold_uncertainty_score":0.022493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09482185214859504,"score_gpt":0.3963007790906818,"score_spread":0.3014789269420868,"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."}}