{"id":"W3082306761","doi":"10.2196/17823","title":"Biosensor Real-Time Affective Analytics in Virtual and Mixed Reality Medical Education Serious Games: Cohort Study","year":2020,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electroencephalography; Biosignal; Wearable computer; Virtual reality; Psychology; Medicine; Applied psychology; Human–computer interaction; Computer science; Neuroscience","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006728641,0.0002848413,0.0005075394,0.0001587135,0.0001140799,0.0002297971,0.0006594834,0.0001664877,0.00002198479],"category_scores_gemma":[0.0005687582,0.0002665609,0.00005484897,0.001054044,0.0001427433,0.0004083875,0.0003653991,0.0002901257,0.00005959636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001481315,"about_ca_system_score_gemma":0.000658226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009827199,"about_ca_topic_score_gemma":0.0005822104,"domain_scores_codex":[0.9972528,0.0003574674,0.0004959913,0.000856527,0.0006420325,0.0003952157],"domain_scores_gemma":[0.9981703,0.0001837114,0.000180689,0.000734904,0.0001289426,0.0006014152],"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":[0.0002589519,0.005654413,0.08928639,0.000135442,0.0003600893,0.0001624096,0.03409723,0.000190504,0.004817469,0.01008103,0.02603517,0.8289209],"study_design_scores_gemma":[0.0009990011,0.001513207,0.9615875,0.00005067854,0.00002703073,0.00003788267,0.001709807,0.02986054,0.000294203,0.0003865989,0.003065017,0.0004684717],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883887,0.00004816175,0.001468236,0.006735527,0.000129408,0.001782097,0.00001424722,0.0002376575,0.001195918],"genre_scores_gemma":[0.9979121,0.00022018,0.0004517249,0.0009015702,0.0001163667,0.0002421134,0.00001856742,0.00002088781,0.0001164581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8723012,"threshold_uncertainty_score":0.9999787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01538036880081992,"score_gpt":0.3041500301840659,"score_spread":0.2887696613832459,"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."}}