{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001717298,0.0001078597,0.000216555,0.00009767599,0.0001037539,0.00002646007,0.00002894411,0.0001389236,0.0003268335],"category_scores_gemma":[0.00001168799,0.00009026895,0.00008774569,0.0000960008,0.00004791944,0.00005467789,0.00001786973,0.00006072406,0.000116981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003176576,"about_ca_system_score_gemma":0.00000488761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003476534,"about_ca_topic_score_gemma":0.000007138367,"domain_scores_codex":[0.9991817,0.00007843552,0.0001960766,0.0003027432,0.00008073837,0.0001602312],"domain_scores_gemma":[0.999593,0.00009242486,0.00005961441,0.0001053693,0.0000612131,0.00008834953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004590044,0.003711964,0.2822133,0.001075939,0.01845521,0.00007722287,0.006189254,0.0005806735,0.1935436,0.1492011,0.128611,0.2117506],"study_design_scores_gemma":[0.003239519,0.000364107,0.9835117,0.00004093074,0.0008798847,0.00004810012,0.001397837,0.006433972,0.000540503,0.000149429,0.002953922,0.0004400316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844188,0.00005153157,0.0007233192,0.0001616415,0.0004269162,0.0002014695,0.00002915499,0.0001214516,0.0138657],"genre_scores_gemma":[0.9936202,0.00002047229,0.001538103,0.00004031797,0.00134997,0.00001826274,0.00004487878,0.000008835806,0.003358931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7012984,"threshold_uncertainty_score":0.3681061,"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."}}