{"id":"W4380894017","doi":"10.1002/alz.061679","title":"Integrated actigraphy‐based biomarker for Alzheimer’s dementia progression","year":2023,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Actigraphy; Dementia; Hazard ratio; Proportional hazards model; Logistic regression; Biomarker; Medicine; Alzheimer's disease; Psychology; Gerontology; Internal medicine; Circadian rhythm; Confidence interval; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001099057,0.0006244185,0.0005947772,0.001233618,0.0001778944,0.0008716148,0.0004177468,0.0003744266,0.00146956],"category_scores_gemma":[0.00210103,0.0001505153,0.000406874,0.0009230073,0.000175266,0.0003229768,0.0004286136,0.0004507463,0.0003109667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002795143,"about_ca_system_score_gemma":0.0003029208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003154381,"about_ca_topic_score_gemma":0.004551011,"domain_scores_codex":[0.9996001,0.0001172718,0.00004540497,0.0001045956,0.0001011038,0.00003157583],"domain_scores_gemma":[0.9985233,0.0002547159,0.000599107,0.00008523944,0.0003931596,0.0001444694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001238105,0.0002143784,0.9549053,0.0002324984,0.0006151285,0.00007279584,0.00007546043,0.001153961,0.0057148,0.0001087694,0.000738843,0.03492997],"study_design_scores_gemma":[0.00005378374,0.0006820252,0.9865072,0.00005354147,0.000284283,0.0004344897,0.00006579104,0.008062523,0.002542223,0.0003074093,0.0009832267,0.00002359822],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837762,0.003262471,0.006386165,0.00009967735,0.00005741664,0.00009624542,0.004534435,0.0001362957,0.001651068],"genre_scores_gemma":[0.9891049,0.0005811224,0.007332972,0.00007149117,0.00005706898,0.0001039085,0.001982625,0.000007459531,0.0007584217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003154381,"threshold_uncertainty_score":0.006272018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07661829667520058,"score_gpt":0.3754130543648364,"score_spread":0.2987947576896358,"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."}}