{"id":"W3129340383","doi":"10.2196/22370","title":"Exergaming Platform for Older Adults Residing in Long-Term Care Homes: User-Centered Design, Development, and Usability Study","year":2021,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Public Health Ontario; Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"Women's College Hospital; AGE-WELL","keywords":"Usability; Long-term care; Cognition; Population; Psychology; System usability scale; Stakeholder; Gerontology; Medicine; Applied psychology; Computer science; Web usability; Nursing; Human–computer interaction; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005126063,0.00024509,0.0003882852,0.0001749672,0.0005015959,0.0001448372,0.0003306174,0.0002379609,0.00001906485],"category_scores_gemma":[0.0003758735,0.0002591402,0.00004536047,0.0004558669,0.0001772244,0.0003844484,0.0002059461,0.0002011386,0.000003307347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003744262,"about_ca_system_score_gemma":0.000401732,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002513835,"about_ca_topic_score_gemma":0.05074421,"domain_scores_codex":[0.9977369,0.0001542731,0.0004390068,0.0007346829,0.0002906149,0.0006445707],"domain_scores_gemma":[0.998969,0.0002372381,0.0001291878,0.0003538917,0.000191132,0.0001195682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001164822,0.000315003,0.6196518,0.0002544673,0.00003603466,0.00008800482,0.230457,7.164512e-7,0.0001349339,0.00002765405,0.00004772477,0.1488702],"study_design_scores_gemma":[0.002476289,0.0001062344,0.8314142,0.0004309427,0.0000129555,0.00000442215,0.1608146,0.0000031012,0.003742935,0.00004532182,0.0006417496,0.0003072467],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949579,0.001192095,0.0002493443,0.000178638,0.0002021395,0.002895756,0.000006458132,0.0002546876,0.00006298668],"genre_scores_gemma":[0.9960212,0.00009754574,0.002920953,0.00003571447,0.00004431501,0.0006114077,0.00001539923,0.0000310401,0.0002223868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2117625,"threshold_uncertainty_score":0.9999861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668866629315264,"score_gpt":0.3199509509883882,"score_spread":0.2932622846952355,"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."}}