{"id":"W3035945396","doi":"10.24908/pceea.vi0.14199","title":"ASSESSING AND TRACKING THE FACTORS INFLUENCING STUDENT WELLBEING IN FIRST-YEAR ENGINEERING","year":2020,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Workload; Grading (engineering); Psychological intervention; Tracking (education); Psychology; Stressor; Medical education; Work (physics); Mathematics education; Pedagogy; Computer science; Medicine; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0004314921,0.0001357283,0.0001523035,0.0001670232,0.0001751047,0.0001610189,0.0002265106,0.0001036224,0.00002272132],"category_scores_gemma":[0.0006918539,0.00011927,0.00004565121,0.0004507796,0.000009945239,0.0002699731,0.00003471732,0.0003361968,0.000003291691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002348612,"about_ca_system_score_gemma":0.000338623,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01605046,"about_ca_topic_score_gemma":0.005129111,"domain_scores_codex":[0.9989633,0.000008607844,0.0002857074,0.0002031024,0.0002184111,0.0003208516],"domain_scores_gemma":[0.9992726,0.0001525948,0.0002112346,0.00006658768,0.0001008881,0.0001960491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001404957,0.00001916652,0.9717373,0.0001998583,0.00003023601,1.301368e-7,0.02325174,0.000670036,0.0006209689,0.002597179,0.0005020241,0.0003700221],"study_design_scores_gemma":[0.0001574784,0.00001008317,0.9831812,0.0001463577,0.00001858223,8.553593e-7,0.008339635,0.0006233359,0.0001966644,0.00001244683,0.007188134,0.0001251931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907229,0.0001374761,0.00001092102,0.007524569,0.0007509207,0.0003038772,0.00000358176,0.0000405564,0.0005051735],"genre_scores_gemma":[0.9990687,0.000007689681,0.0001235771,0.0005239342,0.0001368945,0.0000284025,0.000001682202,0.00002687645,0.00008225761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0149121,"threshold_uncertainty_score":0.9905018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02591421201764276,"score_gpt":0.3148278970946125,"score_spread":0.2889136850769697,"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."}}