{"id":"W3188616123","doi":"10.18260/1-2--37169","title":"Eye-Track Modeling of Problem-Solving in Virtual Manufacturing Environments","year":2024,"lang":"en","type":"article","venue":"2021 ASEE Virtual Annual Conference Content Access Proceedings","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institute of Standards and Technology; University of Alberta; National Science Foundation","keywords":"Computer science; Factory (object-oriented programming); Virtual reality; Human–computer interaction; Workstation; Headset; Virtual machine; Simulation","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005401706,0.000424602,0.0005256142,0.0006561847,0.0001158177,0.0008079865,0.002073772,0.0002307354,0.00005522885],"category_scores_gemma":[0.0001177697,0.0003884123,0.0001349518,0.0005855699,0.0001834628,0.003547482,0.001206257,0.0007310067,0.00005322475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001310054,"about_ca_system_score_gemma":0.0001293392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001288926,"about_ca_topic_score_gemma":0.00001434423,"domain_scores_codex":[0.9967785,0.00002827509,0.0008043405,0.00112757,0.0005830986,0.0006782295],"domain_scores_gemma":[0.9990954,0.00008292877,0.0001956965,0.0002788233,0.0002110416,0.0001360945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002132414,0.00107329,0.01699684,0.0008287522,0.0004063139,0.0003122188,0.01948294,0.007198408,0.1118123,0.4332525,0.0006944581,0.4077287],"study_design_scores_gemma":[0.001678949,0.00126487,0.01418393,0.003452404,0.00007613416,0.00004199743,0.01131614,0.8281265,0.1265917,0.01000214,0.001363319,0.001901899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8671734,0.000250447,0.1293756,0.0008931727,0.0003338411,0.0003583145,0.00002350114,0.0002865593,0.001305223],"genre_scores_gemma":[0.9976756,0.0001304843,0.001192506,0.00006498251,0.00006703209,0.00006308948,0.000007327083,0.00002995807,0.0007690219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8209281,"threshold_uncertainty_score":0.9998568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04522202346867484,"score_gpt":0.2761983509473334,"score_spread":0.2309763274786585,"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."}}