{"id":"W2564002012","doi":"10.1109/vppc.2016.7791756","title":"Problem- and Project-Based Learning in Engineering: A Focus on Electrical Vehicles","year":2016,"lang":"en","type":"article","venue":"","topic":"Mechatronics Education and Applications","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Project-based learning; Capstone; Presentation (obstetrics); Computer science; Engineering management; Problem-based learning; Capstone course; Focus (optics); Resolution (logic); Term (time); Artificial intelligence; Engineering; Mathematics education; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005760825,0.00006472712,0.00005718902,0.0001143778,0.0000138886,0.00001154898,0.00003708649,0.00003397364,0.00002145703],"category_scores_gemma":[0.00001971732,0.00004696932,0.00001054545,0.0001546826,0.000004564592,0.0000237191,0.00000395423,0.00008797953,0.00002605435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004769409,"about_ca_system_score_gemma":0.0000248986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005232141,"about_ca_topic_score_gemma":0.00000455326,"domain_scores_codex":[0.9996198,0.000005781232,0.00008835752,0.00009981404,0.00004847323,0.0001377557],"domain_scores_gemma":[0.9998139,0.00006988709,0.000006524934,0.00006831108,0.000006950766,0.00003442011],"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":[0.00002568332,0.0002800739,0.0104968,0.0001469307,0.00002782742,0.000002504229,0.000404035,0.02758306,0.1561653,0.4240541,0.009598009,0.3712156],"study_design_scores_gemma":[0.00215313,0.0002604348,0.006827035,0.000176151,0.00001015621,0.000005579735,0.00003993558,0.7929123,0.06329083,0.00257378,0.1310267,0.0007239558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7735124,0.0003838188,0.1860755,0.007296003,0.00009666549,0.001420256,0.000003859077,0.002286299,0.02892515],"genre_scores_gemma":[0.9972549,0.00001983987,0.002273763,0.00002014059,0.00001494025,0.0001295223,7.329609e-7,0.00001396998,0.0002721681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7653292,"threshold_uncertainty_score":0.1915353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009235543756614116,"score_gpt":0.2229973493600155,"score_spread":0.2137618056034014,"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."}}