{"id":"W1756646905","doi":"10.24908/pceea.v0i0.3662","title":"REINFORCING LEARNING IN ENGINEERING EDUCATION BY ALTERNATING BETWEEN THEORY, SIMULATION AND EXPERIMENTS","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Soil, Finite Element Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Scope (computer science); Bridge (graph theory); Computer science; Engineering education; Software; Software engineering; Simulation software; Simulation; Engineering management; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01321295,0.001122623,0.001006103,0.001498218,0.001260064,0.00641987,0.00286993,0.002789524,0.006462633],"category_scores_gemma":[0.0279348,0.0005706379,0.0005812096,0.0008887033,0.006572224,0.007248668,0.009421748,0.004410983,0.002566581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002151181,"about_ca_system_score_gemma":0.004144651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004979394,"about_ca_topic_score_gemma":0.0008875812,"domain_scores_codex":[0.9868404,0.008200617,0.0004030643,0.001330969,0.002568473,0.0006565843],"domain_scores_gemma":[0.9781788,0.01529957,0.001026676,0.002543071,0.001266603,0.001685175],"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":[0.0004380297,0.007745016,0.006999953,0.002215778,0.00009780748,0.0003375351,0.0173012,0.01938399,0.01646843,0.3325643,0.01735539,0.5790925],"study_design_scores_gemma":[0.000549428,0.00254985,0.004884177,0.002456303,0.00008900726,0.0005464539,0.008923099,0.02845624,0.01648228,0.7696571,0.1651981,0.0002079713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1962411,0.003775005,0.5482991,0.02715419,0.001398822,0.001880774,0.000104488,0.002178553,0.2189679],"genre_scores_gemma":[0.4776104,0.003211149,0.494964,0.004680886,0.0003648425,0.001829465,0.0001268054,0.0003575259,0.01685494],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01321295,"threshold_uncertainty_score":0.06987756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476821506012029,"score_gpt":0.2498237150371246,"score_spread":0.2350554999770043,"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."}}