{"id":"W2592298314","doi":"10.18260/1-2--1053","title":"Computer Aided Engineering Introduction In A Multi Disciplinary Engineering Program","year":2020,"lang":"en","type":"article","venue":"","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; University of Guelph","keywords":"Software engineering; Accreditation; Computer science; Computer-aided engineering; Discipline; Domain (mathematical analysis); Context (archaeology); Software; Computer Aided Design; Engineering education; Engineering management; Engineering; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007648546,0.0003077558,0.0002686561,0.0001693522,0.00002008343,0.00005553899,0.0001827358,0.0001001012,0.00005875753],"category_scores_gemma":[0.00003409292,0.0003481063,0.000068309,0.0005134474,0.00001020612,0.0002793183,0.0001018604,0.0004868179,0.00006898932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001524874,"about_ca_system_score_gemma":0.000004930516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003566063,"about_ca_topic_score_gemma":0.000001000835,"domain_scores_codex":[0.9987158,0.000007776391,0.000341267,0.0003353097,0.0001502457,0.000449584],"domain_scores_gemma":[0.9995853,0.00002967303,0.00001519334,0.000182326,0.00001277917,0.0001747783],"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":[0.000004210308,0.00003362014,0.000363946,0.0001595955,0.000023844,0.00002085261,0.0006144541,0.9346819,0.06157556,0.00009894639,0.0002351115,0.002187988],"study_design_scores_gemma":[0.0004418069,0.00008270401,0.003491147,0.00004419001,0.000004221711,0.00001190146,0.00005065366,0.9817148,0.008733983,3.707618e-7,0.005042543,0.0003817059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4934357,0.0004688888,0.4940802,0.0005952233,0.00157955,0.0008916287,0.000002986731,0.008667263,0.0002785118],"genre_scores_gemma":[0.7927663,0.000009264446,0.2062169,0.00002358782,0.0007292613,0.0001087082,0.00001584241,0.0001155963,0.00001454015],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2993306,"threshold_uncertainty_score":0.9998971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317959171863769,"score_gpt":0.2330180823558038,"score_spread":0.2198384906371662,"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."}}