{"id":"W4225692586","doi":"10.1007/978-3-030-96296-8_65","title":"Implementation of Experiential Learning in Aerodynamic Design of Road Vehicles","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Educational Games and Gamification","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Aerodynamics; Experiential learning; Wind tunnel; Automotive industry; Engineering; Set (abstract data type); Aerospace engineering; Aeronautics; Computer science; Simulation; Automotive engineering; Psychology; Mathematics education","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":[0.0004322233,0.0001560085,0.0003584639,0.0001943705,0.00002839071,0.00001053957,0.00008926857,0.0002338215,0.0004225653],"category_scores_gemma":[0.0000104391,0.0001585971,0.0000461646,0.00007167401,0.00004554836,0.00002317298,0.00002521482,0.0003565559,6.226967e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006227017,"about_ca_system_score_gemma":0.00003604754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001473573,"about_ca_topic_score_gemma":0.0003285884,"domain_scores_codex":[0.9986516,0.0001920931,0.0005901317,0.0002756581,0.000149314,0.0001411579],"domain_scores_gemma":[0.9990509,0.0002647457,0.0004655203,0.0001616276,0.00003859617,0.00001866987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002213486,0.00008535044,0.02832235,0.0002534484,0.0001674956,0.000008603788,0.01924315,0.7407883,0.0003073317,0.05154255,0.0001448527,0.1589153],"study_design_scores_gemma":[0.01327129,0.005295876,0.5313242,0.005850694,0.0007115683,0.0002361731,0.0285977,0.2812794,0.0001073214,0.01666403,0.1112354,0.005426366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3838056,0.1759779,0.381199,0.0006242104,0.01375272,0.008337248,0.0001442562,0.0001246468,0.03603439],"genre_scores_gemma":[0.9974693,0.0003240216,0.00005213983,0.0000124366,0.0001750275,0.00009101792,0.0001452853,0.00002813568,0.001702625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6136637,"threshold_uncertainty_score":0.6467401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02430039994011212,"score_gpt":0.3075551686106506,"score_spread":0.2832547686705385,"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."}}