{"id":"W2809831682","doi":"10.1145/3197768.3201521","title":"Development of an Exergame on Mobile Phones to Increase Physical Activity for Adults with Severe Mental Illness","year":2018,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Institut Universitaire en Santé Mentale de Québec; Université du Québec à Montréal; Université du Québec à Chicoutimi","funders":"","keywords":"Physical activity; Human–computer interaction; Computer science; Serious game; Multimedia; Mental health; Mobile device; Smartphone application; Game play; Applied psychology; Psychology; Physical medicine and rehabilitation; Medicine; World Wide Web; Psychotherapist","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009106749,0.0001297855,0.0001441452,0.0001283666,0.0001467985,0.00002080434,0.0003702334,0.00004048808,0.00001694385],"category_scores_gemma":[0.00001192366,0.00009868403,0.00001756161,0.0002892854,0.00007391759,0.0004746238,0.00014232,0.00006917631,0.00003779396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009830175,"about_ca_system_score_gemma":0.00006361614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003187251,"about_ca_topic_score_gemma":0.0001570737,"domain_scores_codex":[0.999164,0.00001846836,0.0001049737,0.0003603339,0.0001764303,0.0001757317],"domain_scores_gemma":[0.9992637,0.00003331452,0.00008367774,0.0003267734,0.0002499718,0.00004254878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002700563,0.002960953,0.00007378712,0.00004334013,0.00008551007,0.00000402621,0.04125018,0.00001637232,0.1844411,0.01902848,0.0007226924,0.748673],"study_design_scores_gemma":[0.0006057944,0.001854293,0.001239354,0.00004421717,0.000001986989,0.000009975923,0.0008489771,0.005297877,0.9885059,0.0001225876,0.001271662,0.0001973749],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9108675,1.11939e-7,0.08775112,0.00007441787,0.0001365798,0.000501648,0.000004251341,0.0001172599,0.0005471602],"genre_scores_gemma":[0.9204462,3.048803e-8,0.07905962,0.0001030903,0.00004501593,0.0002018599,0.000003680253,0.000007683727,0.0001328256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8040649,"threshold_uncertainty_score":0.4024218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300026067218159,"score_gpt":0.2918522833485143,"score_spread":0.2788520226763327,"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."}}