{"id":"W3182808732","doi":"10.24908/pceea.vi0.14864","title":"INVESTIGATING THE IMPACT OF ONLINE LEARNING ON ENGINEERING STUDENTS’ SOCIALIZATION EXPERIENCES DURING THE PANDEMIC","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Innovations in Education and Learning Technologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Socialization; Pandemic; Perception; Engineering education; Psychology; Learning environment; Coronavirus disease 2019 (COVID-19); Pedagogy; Engineering; Social psychology; Medicine; Engineering management","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0006966192,0.0001400544,0.0001382522,0.0002371131,0.0005059025,0.0002390839,0.001051146,0.000112545,0.000009730386],"category_scores_gemma":[0.0056105,0.0000980149,0.0001002501,0.00177617,0.00004026713,0.0002488199,0.0001145532,0.0004764753,0.000001416327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001425582,"about_ca_system_score_gemma":0.000943283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001089721,"about_ca_topic_score_gemma":0.0003032852,"domain_scores_codex":[0.9987248,0.00002605587,0.000345296,0.0001960735,0.0004558925,0.0002518843],"domain_scores_gemma":[0.9981825,0.000162265,0.0005495837,0.0002099036,0.0008429014,0.00005281989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001019843,0.0001503451,0.8055217,0.0001221438,0.000196262,7.601026e-8,0.04546096,0.08725066,0.01146008,0.04419558,0.003088287,0.002552846],"study_design_scores_gemma":[0.0001241174,0.00002267664,0.9642674,0.0001953497,0.00001485046,0.000005813547,0.008604443,0.02003946,0.0046822,0.0002431457,0.00160091,0.0001996575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947122,0.00005155522,0.0001669284,0.003904384,0.0006992062,0.0001697117,0.000002278739,0.0001261832,0.0001674976],"genre_scores_gemma":[0.9977101,0.00001416429,0.001337367,0.0001096929,0.0001228864,0.00005763611,0.000004847989,0.00001537368,0.0006279143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1587456,"threshold_uncertainty_score":0.6716697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011675652763989,"score_gpt":0.2675998489505714,"score_spread":0.2574830924229315,"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."}}