{"id":"W4412478226","doi":"10.1117/12.3070751","title":"Multimodal data fusion for accurate psychological stress assessment using HRV and facial features","year":2025,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Facial expression; Stress (linguistics); Artificial intelligence; Sensor fusion; Fusion; Speech recognition; Pattern recognition (psychology); Computer vision","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002989938,0.0001596896,0.0002937254,0.0001495173,0.0001375281,0.00002707896,0.000191472,0.0001587074,0.0001146541],"category_scores_gemma":[0.0001547216,0.0001076464,0.0000424727,0.0001747181,0.0001251957,0.00008427847,0.0001949449,0.0002427666,4.260363e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002553315,"about_ca_system_score_gemma":0.00005006032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005536616,"about_ca_topic_score_gemma":0.00001385986,"domain_scores_codex":[0.9988596,0.00003711374,0.0002298917,0.0004382776,0.0001951407,0.0002399091],"domain_scores_gemma":[0.9990792,0.0001358087,0.00005247384,0.0005595339,0.00008729402,0.00008566548],"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":[0.003588806,0.001976845,0.1986806,0.001108635,0.0009614273,0.0001761284,0.0005571252,0.00003618768,0.2850041,0.007475418,0.05506667,0.4453681],"study_design_scores_gemma":[0.01364618,0.0009580192,0.947543,0.0006501679,0.0006690836,0.00008365166,0.001075786,0.02356482,0.003165822,0.001056576,0.007203077,0.0003837889],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689155,0.0003227995,0.02025112,0.002227367,0.0005840894,0.001177087,0.0002564276,0.0001036819,0.006161979],"genre_scores_gemma":[0.9592897,0.00006407005,0.03765131,0.001813344,0.0002557984,0.00001959137,0.0004054161,0.0000119987,0.0004888156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7488624,"threshold_uncertainty_score":0.4389693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07470664571008229,"score_gpt":0.4508121642113466,"score_spread":0.3761055185012643,"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."}}