{"id":"W4402474213","doi":"10.1109/ccece59415.2024.10667090","title":"Remote Livestream-based Stress Assessment in Telehealth Services","year":2024,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Telehealth; Stress (linguistics); Computer science; Telemedicine; Health care; Political science","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":[0.0004138998,0.0004719484,0.0003866059,0.0003941421,0.0002253669,0.0007332196,0.0006300095,0.0005124821,0.002966008],"category_scores_gemma":[0.001055004,0.0001233703,0.0002363721,0.0002728514,0.0002074131,0.000697808,0.0008120988,0.0003530922,0.0008612843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000305972,"about_ca_system_score_gemma":0.0002720088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009142077,"about_ca_topic_score_gemma":0.001369179,"domain_scores_codex":[0.9996087,0.0001384411,0.00002654075,0.00008479296,0.0001011934,0.00004041041],"domain_scores_gemma":[0.9996576,0.0001112292,0.00005096575,0.00004120537,0.00008714062,0.00005183519],"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":[0.001605297,0.0006988759,0.03309705,0.00101728,0.0001571177,0.0008688196,0.001767274,0.009273862,0.1366498,0.004767629,0.01013051,0.7999665],"study_design_scores_gemma":[0.000292618,0.00336766,0.2002224,0.0009183742,0.0004504209,0.003627989,0.004066051,0.5499274,0.1702753,0.02005117,0.04648776,0.0003128433],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2601807,0.002043827,0.7166958,0.001060765,0.0002114274,0.001055449,0.0009745736,0.006108402,0.01166902],"genre_scores_gemma":[0.9057509,0.0006390472,0.08921716,0.0003780049,0.0001149585,0.000405356,0.0003704229,0.00007415979,0.00305009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002966008,"threshold_uncertainty_score":0.009922326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008730384726972271,"score_gpt":0.2646046441393746,"score_spread":0.2558742594124023,"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."}}