{"id":"W2397085378","doi":"10.5220/0004792302130219","title":"Benefits and Barriers of Older Adults’ Digital Gameplay","year":2014,"lang":"en","type":"article","venue":"","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cognition; Key (lock); Variety (cybernetics); Psychology; Applied psychology; Quality of life (healthcare); Cognitive psychology; Internet privacy; Gerontology; Computer science; Medicine; Psychotherapist; Computer security; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001396731,0.0003520796,0.0002987236,0.001001249,0.0007830387,0.001357657,0.0003495049,0.0004791714,0.002375384],"category_scores_gemma":[0.01246563,0.000182693,0.0005577631,0.0003255404,0.0004794437,0.000786261,0.001835551,0.0004443124,0.0001660993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000551676,"about_ca_system_score_gemma":0.0007054913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01329229,"about_ca_topic_score_gemma":0.02611246,"domain_scores_codex":[0.9984519,0.0004509825,0.000251589,0.0001077419,0.0004706741,0.0002671058],"domain_scores_gemma":[0.9958487,0.002090594,0.0006950419,0.0001175068,0.0006505555,0.0005975444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007721641,0.0009800539,0.8310455,0.0007968625,0.0002297995,0.0007702456,0.0274627,0.0002188565,0.00301934,0.0007670481,0.0008586911,0.1330787],"study_design_scores_gemma":[0.00003767843,0.0007544315,0.9678381,0.0002738061,0.0002054587,0.0009082641,0.02355357,0.0004446411,0.0006101624,0.0004938787,0.004845667,0.00003435564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956076,0.0005893321,0.0001753309,0.00020656,0.00001069616,0.00003288871,0.0000688935,0.00000624783,0.003302469],"genre_scores_gemma":[0.9989886,0.0002714077,0.0002321705,0.00003480053,0.000004694296,0.00002128893,0.00003349173,0.000001470398,0.0004121582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01329229,"threshold_uncertainty_score":0.02642983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006083572013409493,"score_gpt":0.231083520832059,"score_spread":0.2249999488186495,"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."}}