{"id":"W7063878497","doi":"","title":"Activity monitoring system using deep learning for people with dementia","year":2023,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Atomic and Molecular Physics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"University of Manitoba","keywords":"Activities of daily living; Dementia; Activity recognition; Deep learning; Process (computing); Cognition; Minimum bounding box; Assisted living","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005787941,0.0001823572,0.000316647,0.00007851562,0.0003715549,0.00002031111,0.0001572216,0.00007960988,0.000001672805],"category_scores_gemma":[0.000001060212,0.0002359755,0.0001542124,0.0001511173,0.00001579708,0.0001105657,0.00004102068,0.0001885828,0.000008506544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008584778,"about_ca_system_score_gemma":0.00008332647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003617492,"about_ca_topic_score_gemma":0.01315854,"domain_scores_codex":[0.9992802,0.00003072324,0.00005644005,0.0002562432,0.0001678223,0.0002085505],"domain_scores_gemma":[0.999349,0.00003042486,0.0003059595,0.0001449199,0.0001230857,0.0000465987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001168578,0.0002864588,0.9006585,0.004487104,0.005516409,0.00003593879,0.007043011,0.0212204,0.02111824,0.004575327,0.0002397655,0.03365024],"study_design_scores_gemma":[0.002330218,0.0002045723,0.3451764,0.001593578,0.003124654,0.000001079385,0.5959539,0.03915363,0.01057898,0.0001077843,0.0005685787,0.001206665],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9077693,0.00002039741,0.09076896,0.000004472092,0.0002341946,0.0002695588,0.00001057318,0.00005511384,0.0008674823],"genre_scores_gemma":[0.9977071,0.000002601376,0.001212007,1.561565e-7,0.0001484104,0.000001417882,0.0001809343,0.00004854872,0.0006988238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5889109,"threshold_uncertainty_score":0.9622803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161749682101815,"score_gpt":0.213615733614761,"score_spread":0.2019982367937428,"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."}}