{"id":"W4406209297","doi":"10.1002/alz.087666","title":"Prediction of Incident Alzheimer's Disease in Older Community‐Dwelling Adults using Wrist Accelerometry and Deep Learning","year":2024,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University Health Network; Sunnybrook Health Science Centre; Sunnybrook Hospital; University of Toronto","funders":"","keywords":"Wrist; Physical medicine and rehabilitation; Gerontology; Medicine; Disease; Psychology; Internal medicine","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":[0.0006854626,0.0008948326,0.0004305487,0.0008729059,0.0001817887,0.0004326362,0.0004608628,0.000565464,0.0009090451],"category_scores_gemma":[0.001985569,0.0002199412,0.0005642968,0.0003456799,0.0001474207,0.00027711,0.0005569171,0.0006916987,0.0002433667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005000036,"about_ca_system_score_gemma":0.0005634556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01325901,"about_ca_topic_score_gemma":0.01357115,"domain_scores_codex":[0.9997872,0.00004568932,0.00002374675,0.00007981007,0.00002433907,0.00003936788],"domain_scores_gemma":[0.9994166,0.000278912,0.00008064243,0.00003077446,0.0001173453,0.00007569227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00141908,0.001573759,0.6445076,0.0001366892,0.0005794762,0.0003647644,0.00008396948,0.180563,0.002251839,0.0002020996,0.004676591,0.1636412],"study_design_scores_gemma":[0.00007200648,0.0002889275,0.0877059,0.00003840141,0.0000814976,0.0000911101,0.00004915982,0.9097389,0.0009130699,0.0006780275,0.0003269958,0.00001601896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841567,0.0004212325,0.01216588,0.0004305273,0.00004895154,0.00005006983,0.001872495,0.0002136851,0.0006405345],"genre_scores_gemma":[0.9930213,0.0001227211,0.004149843,0.00008187656,0.0000291196,0.00003763986,0.002057143,0.000003376643,0.0004969559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01325901,"threshold_uncertainty_score":0.02636361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02752215067709138,"score_gpt":0.2588294742703786,"score_spread":0.2313073235932872,"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."}}