{"id":"W2213055291","doi":"10.2196/games.4561","title":"Engaging Elderly People in Telemedicine Through Gamification","year":2015,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"FP7 Information and Communication Technologies; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Conceptualization; Telemedicine; Computer science; The Internet; Population; Revenue; Psychological intervention; Knowledge management; Multimedia; World Wide Web; Health care; Medicine; Nursing; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004365906,0.0004687296,0.0007134906,0.002987808,0.0006021974,0.002465238,0.0006036095,0.001319068,0.005810217],"category_scores_gemma":[0.01086891,0.0001296022,0.0009848924,0.002095755,0.001019268,0.002831213,0.001894391,0.001033616,0.0008089365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006370886,"about_ca_system_score_gemma":0.001389765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009837179,"about_ca_topic_score_gemma":0.002048337,"domain_scores_codex":[0.9978557,0.001347532,0.0001948325,0.0001305814,0.0003194316,0.0001518709],"domain_scores_gemma":[0.9935977,0.005480886,0.0004101517,0.000139773,0.0001987679,0.0001726937],"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":[0.0008169063,0.001104758,0.02888864,0.02936696,0.0003383339,0.0008075365,0.01633326,0.001629329,0.001997309,0.02872116,0.007951712,0.8820441],"study_design_scores_gemma":[0.0008866694,0.004324776,0.1052441,0.1234661,0.002564459,0.005715571,0.04981089,0.01240072,0.006829769,0.1110673,0.5773216,0.0003680142],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6512308,0.1647388,0.04291716,0.01738769,0.000635102,0.002764201,0.00137034,0.0003980971,0.1185579],"genre_scores_gemma":[0.8777461,0.06966186,0.04318287,0.002533935,0.000144026,0.001166988,0.000585653,0.00001748301,0.00496119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005810217,"threshold_uncertainty_score":0.02308941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02742538226373355,"score_gpt":0.3269004621195045,"score_spread":0.299475079855771,"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."}}