{"id":"W1961686132","doi":"10.24908/pceea.v0i0.3802","title":"A WORKSHOP COURSE FOR OPEN-ENDED ENGINEERING DESIGN PROBLEMS","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Scope (computer science); Course (navigation); Mechatronics; Engineering management; Open university; Engineering; Computer science; Mathematics education; Distance education; Psychology; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005988994,0.0003022131,0.0002836111,0.0002857405,0.0001425433,0.0001709602,0.0008397715,0.000236642,0.00003115598],"category_scores_gemma":[0.0006615274,0.0003319573,0.0001162978,0.0005956219,0.00001351495,0.0004717987,0.00005850102,0.0003506792,0.00000904956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002120809,"about_ca_system_score_gemma":0.0003207789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008913658,"about_ca_topic_score_gemma":0.0004541328,"domain_scores_codex":[0.9984849,0.000004961434,0.0004132537,0.0002581034,0.0002566329,0.0005821554],"domain_scores_gemma":[0.9989105,0.00009538826,0.0001869623,0.0001788329,0.0003477566,0.0002806014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002297133,0.0002951938,0.01124391,0.00188111,0.001005308,4.437496e-7,0.01160625,0.7798545,0.07251875,0.02844314,0.09151278,0.001615713],"study_design_scores_gemma":[0.001982333,0.0001828215,0.04631776,0.002006715,0.0004115613,0.00002944419,0.001470745,0.7160947,0.1216928,0.0007613044,0.1061342,0.002915677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6158408,0.01084111,0.1194511,0.00745925,0.06732414,0.04118066,0.0005869347,0.01233829,0.1249778],"genre_scores_gemma":[0.9548774,0.00001346408,0.04270888,0.00005714024,0.0001852287,0.000717564,0.000009876399,0.0001655728,0.001264907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3390366,"threshold_uncertainty_score":0.9999133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02281110643296543,"score_gpt":0.2264384536184447,"score_spread":0.2036273471854792,"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."}}