{"id":"W4200507046","doi":"10.24908/pceea.vi0.14877","title":"THINKING 3D IN 2D: TEACHING THREE-DIMENSIONAL ANALYSIS AND ENGINEERING TECHNICAL WRITING ONLINE DURING COVID-19","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Educational Games and Gamification","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Relevance (law); Technical communication; Coronavirus disease 2019 (COVID-19); Medical education; Perception; Engineering education; Psychology; Engineering; Engineering ethics; Engineering management; Computer science; Pedagogy; Political science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001378813,0.001019558,0.0003097051,0.0008691744,0.0009676265,0.002648394,0.001229884,0.0009712166,0.02060942],"category_scores_gemma":[0.003466931,0.0003402143,0.000662038,0.0004069484,0.0009741789,0.002040873,0.003295793,0.001099471,0.004830178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004740386,"about_ca_system_score_gemma":0.001126591,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007775715,"about_ca_topic_score_gemma":0.003480802,"domain_scores_codex":[0.9992811,0.0002682288,0.00003203344,0.0001445503,0.0001673533,0.000106757],"domain_scores_gemma":[0.9981341,0.0009424999,0.00009479567,0.0002394885,0.0001344123,0.000454664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008098023,0.01107277,0.01844974,0.001059272,0.00005485738,0.001872505,0.04755948,0.007828916,0.08058957,0.01421965,0.04664873,0.7698348],"study_design_scores_gemma":[0.000914823,0.009218683,0.08061313,0.001798802,0.000168882,0.006601667,0.06309336,0.06962319,0.1166961,0.05402394,0.5965925,0.0006549496],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7185345,0.0002427303,0.1659265,0.001253777,0.0003202301,0.001079715,0.0004378931,0.004493503,0.1077111],"genre_scores_gemma":[0.6853919,0.0004102949,0.2500271,0.000493053,0.00004256957,0.0007268687,0.0007498906,0.0005674724,0.06159087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9992225,"threshold_uncertainty_score":0.06894535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009537512273493368,"score_gpt":0.2704749487892536,"score_spread":0.2609374365157602,"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."}}