{"id":"W4414105193","doi":"10.20944/preprints202509.0844.v1","title":"AwareOne: A Wrist System for Daily Stress Monitoring Using Mid-Level Physiological Fusion and Late-Fusion with Survey-Based Labels","year":2025,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Sensor fusion; Stress (linguistics); Mean squared error; Mean absolute error; Fusion; Correlation coefficient; Heart rate variability; Benchmark (surveying); Fusible alloy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007738361,0.001238497,0.001126247,0.001066758,0.000197601,0.0009000199,0.0008595777,0.0007671524,0.005098389],"category_scores_gemma":[0.001771388,0.0002731117,0.0004762035,0.0004740307,0.0001755336,0.000680307,0.001277557,0.0005309757,0.003151381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001793073,"about_ca_system_score_gemma":0.0002387783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005590802,"about_ca_topic_score_gemma":0.0007908436,"domain_scores_codex":[0.9993972,0.0001005332,0.00005354153,0.0002350939,0.0001699886,0.00004371183],"domain_scores_gemma":[0.9992486,0.0002118037,0.0001019616,0.0001683679,0.0001661509,0.000103106],"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":[0.006075417,0.001115383,0.04056442,0.001503931,0.0006796326,0.0007084552,0.000888976,0.006410484,0.1314889,0.001056926,0.03164155,0.7778659],"study_design_scores_gemma":[0.001147647,0.005592898,0.2963845,0.0006878063,0.0009539404,0.003585862,0.0007275033,0.458858,0.1510493,0.0100779,0.07021622,0.0007183711],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1996357,0.001694813,0.6876782,0.0004345886,0.0008054714,0.0009093901,0.008785175,0.09227946,0.007777024],"genre_scores_gemma":[0.8361241,0.0005888892,0.1430466,0.0008998842,0.0003907189,0.001027334,0.0078166,0.001617076,0.008488712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005098389,"threshold_uncertainty_score":0.01705587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2286482344789293,"score_gpt":0.3748395823066722,"score_spread":0.1461913478277429,"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."}}