{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003135683,0.0005678675,0.0002639651,0.0003195544,0.0001701444,0.0002981309,0.0005922681,0.0003539552,0.002671906],"category_scores_gemma":[0.0006731931,0.0001774603,0.0004223329,0.00007242142,0.0001135416,0.0003076149,0.0005872974,0.0003328707,0.0007325864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009718248,"about_ca_system_score_gemma":0.0003020266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008718221,"about_ca_topic_score_gemma":0.001881442,"domain_scores_codex":[0.9998686,0.00003377101,0.00001171495,0.00002637579,0.00003959823,0.00001993811],"domain_scores_gemma":[0.9998301,0.000054745,0.000009648867,0.00001137669,0.00004760826,0.00004647885],"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":[0.001921901,0.009058929,0.02359415,0.001726195,0.0002365096,0.002111246,0.002115307,0.004072669,0.180737,0.001594362,0.01068041,0.7621512],"study_design_scores_gemma":[0.003068999,0.04672872,0.4161589,0.001245948,0.001335701,0.01252132,0.003292571,0.1495486,0.1857802,0.003613856,0.1762695,0.0004356545],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8192508,0.0004660719,0.1518388,0.0007075059,0.0002554955,0.00674833,0.0008177718,0.003704744,0.01621052],"genre_scores_gemma":[0.5801429,0.0006804225,0.3986709,0.000627942,0.0000460665,0.003615611,0.001178375,0.0001660403,0.0148717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002671906,"threshold_uncertainty_score":0.008938372,"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."}}