{"id":"W4385789001","doi":"10.2196/46351","title":"A Serious Game to Self-Regulate Heart Rate Variability as a Technique to Manage Arousal Level Through Cardiorespiratory Biofeedback: Development and Pilot Evaluation Study","year":2023,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación","keywords":"Heart rate variability; Cardiorespiratory fitness; Biofeedback; Heart rate; Context (archaeology); Psychology; Arousal; Session (web analytics); Breathing; Test (biology); Simulation; Computer science; Physical therapy; Audiology; Physical medicine and rehabilitation; Medicine; Social psychology; Blood pressure; Internal medicine","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":[0.001210467,0.001454906,0.0007537086,0.0006453106,0.0002480115,0.0008006014,0.001371301,0.0005879937,0.002527469],"category_scores_gemma":[0.002265695,0.0003457915,0.0006676087,0.0001668196,0.0004017804,0.0006565627,0.0008791257,0.0005875682,0.0004650696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002825287,"about_ca_system_score_gemma":0.0004677269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001261531,"about_ca_topic_score_gemma":0.001174012,"domain_scores_codex":[0.9995663,0.0001303379,0.00004551937,0.00007970299,0.0001031491,0.00007496878],"domain_scores_gemma":[0.9988533,0.0004623205,0.00007719561,0.00007034354,0.0002364428,0.0003004029],"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":[0.02182225,0.2015573,0.03578815,0.006830717,0.001116121,0.002729768,0.007354048,0.008263424,0.1828433,0.001997181,0.007737704,0.52196],"study_design_scores_gemma":[0.01700837,0.4737035,0.2659867,0.001201648,0.001786297,0.004799231,0.004140857,0.1195899,0.07605205,0.001689322,0.03363187,0.0004103704],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841903,0.0002209184,0.01077178,0.00006165627,0.00005896961,0.002936109,0.0002240529,0.0003410896,0.001195216],"genre_scores_gemma":[0.8932575,0.001035103,0.09289142,0.0002448313,0.00004740341,0.006292173,0.001337327,0.0001010245,0.004793229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002527469,"threshold_uncertainty_score":0.008455276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04541521045748071,"score_gpt":0.3385859943772678,"score_spread":0.2931707839197871,"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."}}