{"id":"W4382281236","doi":"10.3390/bioengineering10070766","title":"Physiological Signal Analysis and Stress Classification from VR Simulations Using Decision Tree Methods","year":2023,"lang":"en","type":"article","venue":"Bioengineering","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Decision tree; Approximate entropy; Computer science; C4.5 algorithm; Artificial intelligence; Decision tree learning; Pattern recognition (psychology); Simulation; Speech recognition; Naive Bayes classifier; Support vector machine","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":[0.0007384546,0.0005989596,0.0005233203,0.0008909832,0.0002343525,0.0004065619,0.0003957012,0.0005580732,0.001149479],"category_scores_gemma":[0.001464378,0.00020147,0.0008781679,0.0005643833,0.0001282556,0.0002849882,0.0002895733,0.0004653961,0.0002907008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003049922,"about_ca_system_score_gemma":0.000345473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003470188,"about_ca_topic_score_gemma":0.003086599,"domain_scores_codex":[0.99972,0.00008741126,0.00002238493,0.00007085053,0.00005663083,0.00004271993],"domain_scores_gemma":[0.9995754,0.0002447079,0.00003580461,0.00002191721,0.00009984834,0.00002230158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006941305,0.000497568,0.01500131,0.0001813372,0.0001817594,0.0002982372,0.0002969361,0.4891456,0.02529863,0.0008902979,0.001143584,0.4663706],"study_design_scores_gemma":[0.000006858093,0.0001173481,0.005182604,0.00000742213,0.00001615491,0.0000320642,0.00002986737,0.9916667,0.00238414,0.0003433669,0.000204842,0.000008646167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5153069,0.0004305252,0.4807205,0.0001709058,0.00006961283,0.0001986231,0.0005270879,0.0009999572,0.001575999],"genre_scores_gemma":[0.9034724,0.0001499754,0.09470622,0.00003251808,0.00002417041,0.0001394617,0.000639422,0.00002777419,0.0008081279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003470188,"threshold_uncertainty_score":0.006899953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08996308933507362,"score_gpt":0.3728540533915227,"score_spread":0.282890964056449,"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."}}