{"id":"W4367841479","doi":"10.32920/22734275","title":"Physiological Signal Analysis and Classification of Stress from Virtual Reality Video Game","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Support vector machine; Linear discriminant analysis; Artificial intelligence; Decision tree; Frequency domain; Stress (linguistics); Computer science; Pattern recognition (psychology); Naive Bayes classifier; Speech recognition; Mathematics; Computer vision","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002201306,0.0003951358,0.000316669,0.0006344407,0.0001154949,0.0005180197,0.0001850504,0.000322265,0.001177881],"category_scores_gemma":[0.001033691,0.0001033048,0.0003487703,0.0004201283,0.0001511964,0.0001718645,0.0002327805,0.0002242068,0.000340031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001108075,"about_ca_system_score_gemma":0.0001004017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001217414,"about_ca_topic_score_gemma":0.001099061,"domain_scores_codex":[0.9997962,0.00003936212,0.00001280823,0.00005627184,0.00006616515,0.00002932672],"domain_scores_gemma":[0.9997568,0.00009023025,0.00003860202,0.0000188381,0.00006549033,0.00002995636],"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":[0.005628064,0.001249035,0.134291,0.001070064,0.0006836635,0.002158016,0.001713293,0.01870371,0.3601336,0.0008920836,0.005464889,0.4680126],"study_design_scores_gemma":[0.00006776155,0.002024957,0.8924248,0.00005415524,0.000184584,0.001373821,0.0005918875,0.07559859,0.02495052,0.0004833622,0.002153603,0.00009195598],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888476,0.0002309752,0.008160257,0.00004945512,0.0000543208,0.00007427075,0.0009022219,0.0001172759,0.001563584],"genre_scores_gemma":[0.9927827,0.0001822962,0.004687113,0.00003702526,0.00004866303,0.00008209556,0.001059571,0.00001625282,0.001104339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001217414,"threshold_uncertainty_score":0.003940403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06442459946446405,"score_gpt":0.3175861507007161,"score_spread":0.253161551236252,"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."}}