{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01087306,0.0009115313,0.0003700908,0.001468728,0.004755294,0.007699304,0.002890656,0.002528967,0.1795346],"category_scores_gemma":[0.007134945,0.0009602943,0.0005388732,0.0007367339,0.002133117,0.00435687,0.006826602,0.004362533,0.06016008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005260366,"about_ca_system_score_gemma":0.009577679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005852021,"about_ca_topic_score_gemma":0.02377973,"domain_scores_codex":[0.9936372,0.001306796,0.0003140905,0.0007613098,0.003276598,0.0007040393],"domain_scores_gemma":[0.9898158,0.0005841525,0.000314771,0.001700544,0.004617716,0.002966882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001617967,0.0004767752,0.001309421,0.00009778007,0.000005444842,0.0002072463,0.001440993,0.0007721272,0.01080606,0.02823232,0.8380308,0.1184593],"study_design_scores_gemma":[0.000009749457,0.00004340009,0.0003659903,0.00001962262,6.181251e-7,0.0000461877,0.0001592838,0.0004561267,0.001193076,0.0007611427,0.9969326,0.00001222563],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0117902,0.0003654257,0.1344218,0.01166053,0.006455757,0.00187854,0.001588517,0.01563315,0.8162061],"genre_scores_gemma":[0.02896274,0.0001849977,0.0609785,0.003092471,0.0003624381,0.001171562,0.001680094,0.004201346,0.8993658],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1795346,"threshold_uncertainty_score":0.600603,"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."}}