{"id":"W2885326550","doi":"10.24908/pceea.v0i0.10182","title":"Online Evolution: Advantages and Challenges of Online Course Components","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Set (abstract data type); Lecture hall; Mathematics education; Massive open online course; Sociology; Media studies; Computer science; Psychology; Pedagogy; History","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003499978,0.0002603559,0.0002038252,0.001520119,0.001559919,0.009819335,0.001949866,0.001135255,0.01018846],"category_scores_gemma":[0.02137266,0.000201649,0.0002849814,0.001400904,0.001095285,0.008764017,0.004093148,0.001694366,0.002823574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00193521,"about_ca_system_score_gemma":0.001189154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003007787,"about_ca_topic_score_gemma":0.002447634,"domain_scores_codex":[0.9969577,0.0009086161,0.0001347006,0.0004388643,0.00126253,0.0002977183],"domain_scores_gemma":[0.9818493,0.005544306,0.001440881,0.002913469,0.004716021,0.003536137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005653938,0.001108382,0.09078171,0.0001914821,0.00002878523,0.0007105892,0.004040054,0.001587678,0.00509616,0.02736081,0.01558783,0.852941],"study_design_scores_gemma":[0.0001751911,0.002069834,0.3309325,0.0008934817,0.0001994384,0.005600412,0.028145,0.05547844,0.02359196,0.04961639,0.5030479,0.0002493938],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8620126,0.001634322,0.02389137,0.008117129,0.0005328079,0.0001784931,0.0002426142,0.001570531,0.1018202],"genre_scores_gemma":[0.9643887,0.0004455534,0.01286546,0.0007061975,0.0003252745,0.00005832451,0.0003922738,0.0005186151,0.02029952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01018846,"threshold_uncertainty_score":0.03408378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01103457871220182,"score_gpt":0.2397839344056685,"score_spread":0.2287493556934667,"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."}}