{"id":"W1795622905","doi":"10.24908/pceea.v0i0.4802","title":"BEING A TEACHING ASSISTANT (TA) IN FIRST-YEAR ENGINEERING COURSE: PERSPECTIVES, CHALLENGES, REWARDS AND RECOMMENDATIONS","year":2013,"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":"Toronto Metropolitan University","funders":"","keywords":"Grading (engineering); Course (navigation); Psychology; Perception; Medical education; Mathematics education; Pedagogy; Engineering; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004904985,0.0002404446,0.0002227789,0.0004448786,0.0001404999,0.0001555814,0.0002397938,0.0001708519,0.00004780935],"category_scores_gemma":[0.0006345175,0.0002624272,0.00005772156,0.000426221,0.00001090288,0.000491065,0.00002893607,0.0005037169,0.00000987565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003007978,"about_ca_system_score_gemma":0.0002474941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001985671,"about_ca_topic_score_gemma":0.002811537,"domain_scores_codex":[0.998691,0.000007030045,0.000379641,0.0002411559,0.0002590614,0.0004221692],"domain_scores_gemma":[0.999175,0.00006927408,0.0001135693,0.0001243217,0.0002696674,0.0002481688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000004359921,0.0007213757,0.261549,0.004356434,0.001032798,9.150398e-7,0.07987353,0.04991059,0.006345936,0.3703611,0.2064696,0.01937436],"study_design_scores_gemma":[0.0004821621,0.00001943223,0.8484895,0.001170178,0.00005944301,0.00001249506,0.007930442,0.03579866,0.0003334511,0.0003383509,0.1044156,0.0009503081],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9145399,0.004369598,0.0002166123,0.04708621,0.005952893,0.00227317,0.00004062905,0.001050193,0.02447077],"genre_scores_gemma":[0.9943315,0.0003230932,0.004446388,0.00004420564,0.0001307769,0.0002465141,0.000007995678,0.00006412464,0.0004053871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5869405,"threshold_uncertainty_score":0.9999828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003941362407598241,"score_gpt":0.1906544899539352,"score_spread":0.186713127546337,"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."}}