{"id":"W4244496447","doi":"10.32920/ryerson.14637420","title":"Providing a uniform design experience in an undergraduate Mechanical Engineering Program","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Engineering design process; Process (computing); Computer science; Design process; Work (physics); Engineering management; Mechanical design; Software engineering; Work in process; Engineering; Mechanical engineering; Operations management","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002111479,0.0004334156,0.0003639176,0.0002517024,0.00002531602,0.0002821586,0.0003743959,0.0002952407,0.00005516006],"category_scores_gemma":[0.00004372571,0.0004683248,0.00007358877,0.0003927218,0.000009224756,0.0002111132,0.0001903945,0.0007434953,0.000007681187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004899093,"about_ca_system_score_gemma":0.0001770614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001992529,"about_ca_topic_score_gemma":0.00004066034,"domain_scores_codex":[0.9982479,0.00002693348,0.00047581,0.0004934302,0.0002574777,0.0004984306],"domain_scores_gemma":[0.9992087,0.0000330345,0.00003186138,0.0004530941,0.00005907157,0.000214257],"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":[0.000001671329,0.0001699254,0.0000856289,0.0004709411,0.00003910069,0.00003545946,0.002004892,0.9869093,0.002034169,0.0008540967,0.0001219843,0.007272798],"study_design_scores_gemma":[0.0001686398,0.00002938034,0.0005028038,0.0004743661,0.000009514869,0.00001326914,0.0007085947,0.9860922,0.0104289,0.0000949325,0.0007006065,0.0007767811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3854606,0.0003946711,0.6042599,0.0001671381,0.003019282,0.001752396,0.000002142485,0.004191815,0.0007520216],"genre_scores_gemma":[0.7918214,0.0001107061,0.206518,0.00001652972,0.00006122955,0.001273772,0.00005324056,0.00008353067,0.00006160838],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4063607,"threshold_uncertainty_score":0.9997768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03716113668644896,"score_gpt":0.2844751066244699,"score_spread":0.2473139699380209,"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."}}