{"id":"W4416249896","doi":"10.1109/ijcnn64981.2025.11227277","title":"Designing Stress Response Analyzer using Composite Cardiovascular Biomarkers","year":2025,"lang":"","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Workload; Wearable computer; Stress (linguistics); Composite number; Spectrum analyzer; Ranging; Accelerometer","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001805423,0.0008442266,0.001068907,0.001290446,0.0005239592,0.0004707504,0.00062342,0.0004225769,0.0001079648],"category_scores_gemma":[0.0002504567,0.0009956929,0.001142951,0.002563081,0.0001789201,0.0005517493,0.0004192503,0.0005640023,0.00006098206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001270098,"about_ca_system_score_gemma":0.0002556131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006692188,"about_ca_topic_score_gemma":0.000008090583,"domain_scores_codex":[0.9952914,0.0008493147,0.000944895,0.000982835,0.0007030765,0.00122854],"domain_scores_gemma":[0.9970747,0.000882375,0.00009294455,0.001378125,0.0002470266,0.0003248402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003679118,0.00003920795,0.01001423,0.0003086775,0.00711167,0.0001764593,0.0001579902,0.347813,0.6305779,0.00002716771,0.00008389437,0.003321851],"study_design_scores_gemma":[0.001642808,0.00004753448,0.004505191,0.002400571,0.002011379,0.00002352555,0.001025164,0.03358876,0.9527802,0.00007637085,0.0005405658,0.00135789],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3930455,0.01514231,0.5854188,0.00003487054,0.002416007,0.0005627162,0.00002501956,0.0003647827,0.002990069],"genre_scores_gemma":[0.9608663,0.0001227082,0.03821689,0.0000291099,0.0002746707,0.00001846146,0.00000552042,0.0001430191,0.0003233474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5678208,"threshold_uncertainty_score":0.9992493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01725529864558859,"score_gpt":0.2488585935743702,"score_spread":0.2316032949287816,"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."}}