{"id":"W2980408566","doi":"10.1016/j.jalz.2019.06.4343","title":"TD‐P‐32: EVALUATING DISEASE PROGRESSION AND THE IMPACT OF TREATMENTS OR INTERVENTIONS IN PEOPLE WITH DEMENTIA, MCI OR PHYSICAL IMPAIRMENT USING 3D SKELETON MOVEMENT DATA AND MACHINE LEARNING","year":2019,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Shores Centre for Mental Health Sciences; Memorial University of Newfoundland","funders":"","keywords":"Physical medicine and rehabilitation; Dementia; Computer science; Session (web analytics); Artificial intelligence; Movement (music); Medicine; 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":[0.002534625,0.001466969,0.0009692984,0.0008921493,0.0004191214,0.0005790344,0.0008384302,0.001179453,0.004614077],"category_scores_gemma":[0.006694747,0.0003096888,0.001699561,0.0004104326,0.0003594596,0.0007596525,0.00110215,0.0007936841,0.001231099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000475791,"about_ca_system_score_gemma":0.0009943519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004108417,"about_ca_topic_score_gemma":0.007932427,"domain_scores_codex":[0.999076,0.0003479769,0.0001251526,0.0001990385,0.0001762007,0.00007569074],"domain_scores_gemma":[0.9976406,0.0006748503,0.0004586429,0.0002104361,0.0005794484,0.0004361289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0846917,0.01299075,0.2930777,0.006605611,0.005197487,0.0006692054,0.0009414567,0.01405407,0.01829124,0.0008822677,0.03692132,0.5256771],"study_design_scores_gemma":[0.01029293,0.08526502,0.7936687,0.001390653,0.003467424,0.0012183,0.0008841444,0.05114903,0.02424724,0.004189281,0.02382746,0.000399793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9481788,0.001258271,0.01019994,0.0003240699,0.0002054845,0.004602637,0.02997432,0.001028056,0.004228449],"genre_scores_gemma":[0.9359691,0.0006104826,0.02268708,0.0002602318,0.00006806715,0.01302745,0.0229628,0.00008407737,0.004330765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004614077,"threshold_uncertainty_score":0.01543564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0604697260185399,"score_gpt":0.3968964643107912,"score_spread":0.3364267382922513,"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."}}