{"id":"W2119479174","doi":"10.24908/pceea.v0i0.5955","title":"COMPARING EXPECTATIONS TO EXPERIENCE IN ONLINE TEACHING","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Psychology; Computer science; Mathematics education","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":[0.006875978,0.0001624634,0.0003096082,0.001128047,0.000648401,0.003022587,0.0009716876,0.0008928758,0.01002601],"category_scores_gemma":[0.09176153,0.0001849111,0.0007530836,0.001181801,0.0007591267,0.002578869,0.001630794,0.001141448,0.001376183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001845681,"about_ca_system_score_gemma":0.001481623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01269908,"about_ca_topic_score_gemma":0.009107124,"domain_scores_codex":[0.9942941,0.001736859,0.0004920406,0.0003153267,0.002138257,0.001023391],"domain_scores_gemma":[0.909329,0.04991962,0.009604743,0.003350143,0.01205689,0.01573967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007062493,0.004506689,0.8690616,0.0002548017,0.000256456,0.0002181614,0.01152301,0.0009464802,0.0008411156,0.002002787,0.006637696,0.09668871],"study_design_scores_gemma":[0.0001443083,0.00242074,0.9790702,0.0001153723,0.00006484459,0.00008208546,0.01192892,0.001131845,0.001057315,0.001054262,0.002880247,0.0000498697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930277,0.00008525074,0.0002355789,0.0002531769,0.000051454,0.00003212717,0.0003326754,0.00001274309,0.005969222],"genre_scores_gemma":[0.9989214,0.00002235703,0.00007180153,0.00005316875,0.00001097108,0.00003557652,0.0001928957,0.000008021044,0.0006838667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01269908,"threshold_uncertainty_score":0.03636408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02312285681174308,"score_gpt":0.2771511922994283,"score_spread":0.2540283354876852,"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."}}