{"id":"W2895766291","doi":"10.1089/g4h.2017.0092","title":"Computer and Videogame Interventions for Older Adults' Cognitive and Everyday Functioning","year":2018,"lang":"en","type":"article","venue":"Games for Health Journal","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Institut Universitaire de Gériatrie de Montréal","funders":"National Institute on Aging; Robert Wood Johnson Foundation","keywords":"Psychology; Cognitive training; Psychological intervention; Cognition; Mood; Intervention (counseling); Cognitive Intervention; Session (web analytics); Cognitive skill; Randomized controlled trial; Clinical psychology; Medicine; 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":[0.0002199592,0.0003255438,0.000244374,0.0002958646,0.0001248101,0.0001551568,0.0002093576,0.0002342124,0.002414635],"category_scores_gemma":[0.0006421577,0.00004858282,0.0002556615,0.0001159611,0.00008875135,0.00009859541,0.0002425726,0.0002065107,0.0001399545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002036684,"about_ca_system_score_gemma":0.0002293499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001225601,"about_ca_topic_score_gemma":0.003495014,"domain_scores_codex":[0.9998938,0.00003295677,0.0000113594,0.00001530498,0.00001904015,0.00002754833],"domain_scores_gemma":[0.9998618,0.0000470441,0.00002951856,0.000004694432,0.00001234986,0.00004440503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.02766188,0.04648976,0.03137169,0.003675802,0.0009678527,0.0002784737,0.0007133558,0.0007596574,0.02282521,0.0001878361,0.001635607,0.8634329],"study_design_scores_gemma":[0.01294277,0.1378324,0.8301992,0.0006787616,0.001185799,0.0005893135,0.0006065536,0.001621386,0.007510355,0.0002540673,0.006551614,0.00002767901],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996518,0.001656684,0.0001309086,0.00006210481,0.00002788085,0.0001816838,0.00005389285,0.00002433349,0.001344414],"genre_scores_gemma":[0.9957633,0.001510183,0.00100231,0.0001005648,0.00004452071,0.0002990874,0.0001221526,0.000001791586,0.001156035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002414635,"threshold_uncertainty_score":0.0080778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03085091924836966,"score_gpt":0.3689083025196679,"score_spread":0.3380573832712983,"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."}}