{"id":"W2151502303","doi":"10.1109/iembs.2004.1403632","title":"Wrist ambulatory monitoring system and smart glove for real time emotional, sensorial and physiological analysis","year":2005,"lang":"en","type":"article","venue":"","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"CMC Microsystems (Canada)","funders":"","keywords":"Computer science; Neurophysiology; Cognition; Wrist; Ambulatory; Human–computer interaction; Physical medicine and rehabilitation; Artificial intelligence; Psychology; Neuroscience; Medicine","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":[0.0007284324,0.0006682051,0.001113745,0.0007423314,0.0002509311,0.00068292,0.0008216324,0.001102453,0.01601133],"category_scores_gemma":[0.001219436,0.0002859361,0.0004826956,0.0005001713,0.0001946215,0.0006822795,0.000602913,0.0005830631,0.006822317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001556041,"about_ca_system_score_gemma":0.0003170581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003684252,"about_ca_topic_score_gemma":0.0003377158,"domain_scores_codex":[0.9988508,0.0002134133,0.0001065275,0.000263118,0.0005102548,0.0000557938],"domain_scores_gemma":[0.9992536,0.0001381664,0.00008283169,0.0001246766,0.0003202109,0.00008058261],"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":[0.002340538,0.0006149058,0.008945714,0.001432633,0.0002235173,0.0007366341,0.0004666835,0.001561075,0.3735509,0.003124977,0.04230108,0.5647014],"study_design_scores_gemma":[0.002309577,0.01029299,0.1433639,0.0008069018,0.001098066,0.01859512,0.0003058676,0.1093751,0.276122,0.004781693,0.4322214,0.0007273701],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09106592,0.004697289,0.8203926,0.00141125,0.001199889,0.002557748,0.004893161,0.03090898,0.04287316],"genre_scores_gemma":[0.5622713,0.003044839,0.349064,0.003528957,0.001313335,0.003422327,0.005208194,0.0007486643,0.07139843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01601133,"threshold_uncertainty_score":0.05356324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0423854690805581,"score_gpt":0.319372682006692,"score_spread":0.2769872129261339,"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."}}