{"id":"W3000987284","doi":"10.24908/pceea.vi0.13714","title":"ENGCON: A PRE-CAPSTONE ENGINEERING DESIGN CONVENTION","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"General Motors of Canada","keywords":"Capstone; Engineering management; Process (computing); Discipline; Engineering; Convention; Engineering education; Set (abstract data type); Engineering ethics; Medical education; Engineering design process; Computer science; Political science; Medicine; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004720072,0.0002439084,0.0002382726,0.000391909,0.00006630392,0.00009164309,0.0003451977,0.0002766533,0.0001227284],"category_scores_gemma":[0.0004707562,0.0002517597,0.0001156179,0.0007300851,0.00001176245,0.0003030032,0.00002047024,0.0003731767,0.00006830405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002063746,"about_ca_system_score_gemma":0.0003183732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009501348,"about_ca_topic_score_gemma":0.0001630942,"domain_scores_codex":[0.9985635,0.000005266343,0.0003802799,0.0002184394,0.0003782902,0.0004542028],"domain_scores_gemma":[0.9990562,0.00007769417,0.0001417269,0.0001616561,0.0002833632,0.0002794063],"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":[0.00002094651,0.0003537372,0.05281609,0.009888186,0.001175114,4.813103e-7,0.006248278,0.4437241,0.2155389,0.03245328,0.2305366,0.007244336],"study_design_scores_gemma":[0.0009058546,0.00009599775,0.2704127,0.001743163,0.0002146824,0.00002626655,0.0003124662,0.4914654,0.03861956,0.0003411635,0.1941102,0.001752478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654307,0.0009294022,0.002376976,0.002919421,0.01787735,0.001950403,0.00004407543,0.001224653,0.007247026],"genre_scores_gemma":[0.9945242,0.00002694582,0.002233367,0.00007506169,0.0002948064,0.0001023693,0.00001441961,0.00007657448,0.002652291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2175967,"threshold_uncertainty_score":0.9999934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003610971772581431,"score_gpt":0.1653535530993066,"score_spread":0.1617425813267252,"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."}}