{"id":"W1980560842","doi":"10.1371/journal.pone.0036169","title":"Using Biofeedback while Immersed in a Stressful Videogame Increases the Effectiveness of Stress Management Skills in Soldiers","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":143,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; Université du Québec en Outaouais","funders":"Public Works and Government Services Canada; Ministère de la Défense Nationale; Canada Research Chairs","keywords":"Biofeedback; Stress management; Video game; Repeated measures design; Heart rate; Psychology; Stress (linguistics); Applied psychology; Medicine; Physical therapy; Audiology; Physical medicine and rehabilitation; Multimedia; Computer science; Blood pressure; Clinical psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002045964,0.0002873539,0.0002159035,0.0001150575,0.0001223867,0.0001422715,0.0001267982,0.000212422,0.002134818],"category_scores_gemma":[0.0007405592,0.00008752169,0.0001103823,0.00003479093,0.0001391742,0.000108801,0.0001926302,0.0002075159,0.0001433338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005741601,"about_ca_system_score_gemma":0.00007518237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004735595,"about_ca_topic_score_gemma":0.0007012896,"domain_scores_codex":[0.999918,0.00002496649,0.000005768398,0.0000159701,0.00001619686,0.00001915371],"domain_scores_gemma":[0.9998331,0.00007455005,0.00003070858,0.000007047693,0.00001126831,0.00004314161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.02010724,0.02871978,0.02705472,0.001142304,0.0003299516,0.0002845651,0.001704427,0.0006173551,0.4985014,0.00009922186,0.0005851325,0.420854],"study_design_scores_gemma":[0.001440725,0.2185859,0.7349982,0.0001793346,0.0003209426,0.000504106,0.001684286,0.002081717,0.0378183,0.0001574957,0.002192185,0.00003680418],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994944,0.0001043747,0.0001087836,0.0000208535,0.000007196887,0.00001340851,0.00000471457,0.000005178812,0.0002410864],"genre_scores_gemma":[0.9982499,0.0002750078,0.0007844732,0.00004339833,0.00002226207,0.0000309338,0.00002418452,0.000002263054,0.0005675553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002134818,"threshold_uncertainty_score":0.007141709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04144480797980007,"score_gpt":0.2659191891664511,"score_spread":0.224474381186651,"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."}}