{"id":"W4396775438","doi":"10.1002/cae.22755","title":"Bridging theory and practice: CFD simulation and interactive VR for conduction heat transfer learning","year":2024,"lang":"en","type":"article","venue":"Computer Applications in Engineering Education","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computational fluid dynamics; Computer science; Heat transfer; Thermal conduction; Bridging (networking); Simulation software; Software; Fluent; Virtual reality; Simulation; Mechanical engineering; Computer simulation; Human–computer interaction; Engineering; Materials science; Mechanics; Aerospace engineering","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":[0.0005362254,0.0001206412,0.00009932758,0.0002674662,0.0001043016,0.0003299756,0.0001134212,0.00005426107,6.783061e-7],"category_scores_gemma":[0.0001137516,0.0001294495,0.00002238332,0.0004000394,0.00002119936,0.0009903513,0.00004064372,0.0001691115,0.000002138206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001044923,"about_ca_system_score_gemma":0.00007412108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001311191,"about_ca_topic_score_gemma":7.020967e-7,"domain_scores_codex":[0.9991755,0.00005316366,0.000193728,0.0003713057,0.0000721792,0.0001340616],"domain_scores_gemma":[0.9983681,0.001277453,0.0000135612,0.0001919443,0.00008784599,0.00006113407],"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":[0.00000724719,0.0000772876,0.00001947414,0.0001941565,0.00001944782,1.06812e-7,0.003960433,0.1583863,0.001594863,0.2757425,0.00003832524,0.5599598],"study_design_scores_gemma":[0.00008574496,0.00003599918,0.00107974,0.00009459342,0.00001391744,0.00002262726,0.0001671044,0.970607,0.0002147899,0.001986166,0.02555446,0.0001378565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02120481,0.0007008411,0.9763197,0.0006799708,0.0002238414,0.0006355648,0.000002506614,0.0001797578,0.00005295875],"genre_scores_gemma":[0.9570519,0.0000671968,0.04205188,0.00007748655,0.0001874066,0.0004823461,0.00003474538,0.00001601783,0.00003101485],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9358471,"threshold_uncertainty_score":0.5278795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01681675396014442,"score_gpt":0.3305559419182276,"score_spread":0.3137391879580831,"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."}}