{"id":"W3092705107","doi":"10.18260/1-2--31092","title":"The Effectiveness of Webinars in Professional Skills and Engineering Ethics Education in Large Online Classes","year":2020,"lang":"en","type":"article","venue":"","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Rigour; Context (archaeology); Engineering education; Computer science; Multimedia; Mathematics education; Psychology; Engineering; Engineering management; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0003688566,0.00007850097,0.00009662592,0.00005904425,0.0000142608,0.00000778007,0.00006085372,0.00006182869,0.000005431892],"category_scores_gemma":[0.0002049289,0.00006212241,0.00001035939,0.0002417895,0.000007094003,0.00004862647,0.00001995764,0.0002821746,0.000001237883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004914125,"about_ca_system_score_gemma":0.0001312057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004622452,"about_ca_topic_score_gemma":0.00003748121,"domain_scores_codex":[0.9995122,0.00003925383,0.0001654523,0.00008102821,0.00008555825,0.000116483],"domain_scores_gemma":[0.9994838,0.0003887137,0.00001044773,0.00005173449,0.00002444543,0.00004083152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004932927,0.002409019,0.5711927,0.008787917,0.0001111891,0.000006241972,0.01559394,0.2480223,0.03928722,0.09662183,0.001727497,0.01619087],"study_design_scores_gemma":[0.0002827167,0.00001101936,0.9698094,0.0003635469,0.00000162653,9.947521e-7,0.0006174294,0.02282334,0.001788414,0.00004180586,0.004138838,0.0001208613],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975978,0.0004229093,0.0005729294,0.0004247562,0.0005630655,0.0001745881,0.000002111905,0.00005533979,0.0001865067],"genre_scores_gemma":[0.9988257,0.0001923618,0.0008097077,0.00004500516,0.00001819734,0.00003352957,0.000009770451,0.00001188464,0.00005387012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3986167,"threshold_uncertainty_score":0.2533278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006245786897427314,"score_gpt":0.270940898728986,"score_spread":0.2646951118315586,"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."}}