{"id":"W2036569751","doi":"10.5430/jbgc.v2n1p133","title":"The role of Basal HRV assessed through wavelet transform in the prediction of anxiety and affect levels: a case study","year":2012,"lang":"en","type":"article","venue":"Journal of Biomedical Graphics and Computing","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Anxiety; Affect (linguistics); Trait; Psychology; Trait anxiety; Heart rate variability; Correlation; Clinical psychology; Wavelet transform; Audiology; Daubechies wavelet; Developmental psychology; Wavelet; Heart rate; Internal medicine; Medicine; Mathematics; Psychiatry; Artificial intelligence; Computer science; Communication; Discrete wavelet transform; Blood pressure","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004408719,0.00008402484,0.0003263177,0.00008039917,0.0001114674,0.00001468138,0.0000616398,0.00007703154,0.000001745297],"category_scores_gemma":[0.0001322481,0.00004266851,0.00008771868,0.0002601594,0.0002214679,0.00008121788,0.00002142566,0.0003991911,1.285585e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001084941,"about_ca_system_score_gemma":0.00009380314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001009153,"about_ca_topic_score_gemma":0.000014515,"domain_scores_codex":[0.9986055,0.0002205265,0.0006308032,0.00007630701,0.0002976077,0.0001692841],"domain_scores_gemma":[0.9987309,0.000794314,0.0002140806,0.00009562693,0.00007409419,0.00009097318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003625389,0.004400114,0.4776967,0.0004029033,0.0007130954,0.0002185021,0.05162291,0.000004214389,0.017605,0.002010707,0.0000423817,0.4449209],"study_design_scores_gemma":[0.01035425,0.005081023,0.8329079,0.0005793968,0.0006515757,0.008149036,0.06465249,0.06798321,0.0009081233,0.002454863,0.006090149,0.0001880036],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996037,0.001009607,0.001313856,0.00123836,0.00009517907,0.0002694928,0.000005915424,0.00000217324,0.00002841296],"genre_scores_gemma":[0.9994199,0.0001643184,0.0001541844,0.0000828903,0.0001729469,9.847862e-7,4.185226e-7,0.000004003246,3.688644e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4447329,"threshold_uncertainty_score":0.1739971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02648029043890811,"score_gpt":0.2949696109973954,"score_spread":0.2684893205584873,"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."}}