{"id":"W3002486847","doi":"10.24908/pceea.vi0.13746","title":"TEACHING ASSISTANT TRAINING IN ENGINEERING DESIGN","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cornerstone; Medical education; Engineering management; Quality (philosophy); Engineering education; Engineering design process; Engineering; Training (meteorology); Psychology; Mathematics education; Computer science; Medicine; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0007289788,0.0002378831,0.0002484352,0.000576727,0.00006215176,0.00009265288,0.0003419258,0.0001775504,0.00004441566],"category_scores_gemma":[0.000437617,0.0002540975,0.00007989928,0.0006561917,0.000004908939,0.0002628948,0.00001785616,0.0005148961,0.00002605786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003579359,"about_ca_system_score_gemma":0.0006134602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001196497,"about_ca_topic_score_gemma":0.0007894806,"domain_scores_codex":[0.998556,0.000006963764,0.0004184189,0.0002065458,0.0003271647,0.0004849099],"domain_scores_gemma":[0.9993284,0.00007189047,0.0001215958,0.0001259542,0.0001514916,0.0002007037],"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":[0.000004088115,0.0001208627,0.09025414,0.002092878,0.0002987694,5.509262e-7,0.01919835,0.7934853,0.03657756,0.03058446,0.02227982,0.005103225],"study_design_scores_gemma":[0.001112249,0.00004700639,0.3878058,0.002433796,0.00008851874,0.00002614633,0.00365591,0.4265745,0.01124091,0.0003050169,0.1643937,0.002316355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679283,0.0003678763,0.0007392683,0.002056273,0.009280775,0.001350368,0.00001551221,0.0006999711,0.0175616],"genre_scores_gemma":[0.9937032,0.000008715476,0.004453064,0.00007645784,0.0001176559,0.00009674809,0.000005155566,0.0000710974,0.001467939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3669108,"threshold_uncertainty_score":0.9999911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006014332882013792,"score_gpt":0.1830930612393393,"score_spread":0.1770787283573255,"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."}}