{"id":"W4230251395","doi":"10.2196/preprints.22370","title":"Exergaming Platform for Older Adults Residing in Long-Term Care Homes: User-Centered Design, Development, and Usability Study (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Public Health Ontario; Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"","keywords":"Usability; Long-term care; Cognition; Population; Psychology; Gerontology; Medicine; Applied psychology; Computer science; Nursing; Human–computer interaction; Psychiatry","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":[0.009853456,0.000499293,0.0006950774,0.0008010124,0.0006762787,0.0009709631,0.0004730354,0.0005332523,0.002954091],"category_scores_gemma":[0.01272555,0.0003739434,0.0009050373,0.0003601419,0.0004442561,0.0007597035,0.0008026914,0.0004992399,0.0004156667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004496758,"about_ca_system_score_gemma":0.001290323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008444923,"about_ca_topic_score_gemma":0.001955892,"domain_scores_codex":[0.9975142,0.00137258,0.0003830194,0.0002383637,0.0003220162,0.0001697758],"domain_scores_gemma":[0.9914953,0.005334291,0.0003752956,0.0003571282,0.00203335,0.0004047063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005976682,0.03423574,0.140679,0.01551565,0.0006875446,0.001743381,0.1312351,0.002403616,0.04783032,0.001482121,0.01795747,0.6002533],"study_design_scores_gemma":[0.005610244,0.17036,0.6312086,0.004286889,0.001607068,0.001843102,0.07421754,0.01042251,0.03244144,0.0008865038,0.06650452,0.0006116059],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835299,0.0002650748,0.006133557,0.0001603996,0.00006138387,0.007880936,0.0002735367,0.0001464962,0.001548616],"genre_scores_gemma":[0.9160019,0.0008239182,0.05565213,0.0005711969,0.0000685365,0.02282012,0.0005954818,0.00007667259,0.003390039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009853456,"threshold_uncertainty_score":0.05211067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05565487725951141,"score_gpt":0.3305037419991027,"score_spread":0.2748488647395912,"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."}}