{"id":"W4402296756","doi":"10.1016/j.cexr.2024.100082","title":"Automated emotion recognition of students in virtual reality classrooms","year":2024,"lang":"en","type":"article","venue":"Computers & Education X Reality","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Virtual reality; Psychology; Augmented reality; Human–computer interaction; Computer science; Mathematics education","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003663333,0.000551753,0.0004283205,0.0005323549,0.0001350161,0.0007103525,0.0004506836,0.0005343125,0.002197116],"category_scores_gemma":[0.001214342,0.0001324348,0.0003790966,0.0001799019,0.0001458146,0.0003774677,0.0006914021,0.000428517,0.001478403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002272261,"about_ca_system_score_gemma":0.0001164036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007617089,"about_ca_topic_score_gemma":0.001501044,"domain_scores_codex":[0.9995642,0.0001089822,0.00001533554,0.0001229595,0.0000943984,0.00009409263],"domain_scores_gemma":[0.9997225,0.00008274421,0.00004014665,0.00002570023,0.00008024258,0.00004860127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002204603,0.0008352841,0.08421158,0.0003888045,0.0002064626,0.0007129474,0.001776383,0.01396177,0.1679311,0.0007585451,0.01143329,0.7155792],"study_design_scores_gemma":[0.0001197086,0.001522244,0.3977288,0.0001274442,0.0002174768,0.001224412,0.004363921,0.4993702,0.07996736,0.002787199,0.01242774,0.000143464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9558004,0.0005990564,0.03657273,0.0002315011,0.0001296456,0.0000770148,0.0007300476,0.0008907619,0.004968873],"genre_scores_gemma":[0.9890025,0.0002007622,0.007734499,0.00007161327,0.00004256685,0.00003896633,0.000568157,0.0000304959,0.002310558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002197116,"threshold_uncertainty_score":0.007350087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06153358138997889,"score_gpt":0.3999897020014307,"score_spread":0.3384561206114518,"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."}}