{"id":"W3042179784","doi":"","title":"Tracking Online Education in Canadian Universities and Colleges: National Survey of Online and Digital Learning 2019 National Report","year":2019,"lang":"en","type":"article","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Distance education; Online learning; Library science; Higher education; Ligne; Electronic learning; Educational technology; Humanities; Computer science; World Wide Web; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005353881,0.0001552091,0.0002005186,0.001085118,0.0001013784,0.0002250517,0.0002993126,0.00004266293,0.00003621203],"category_scores_gemma":[0.002138851,0.0001683952,0.00004017029,0.0006785421,0.0001062617,0.0009676548,0.0001743448,0.0002421898,0.00000583401],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001745729,"about_ca_system_score_gemma":0.086325,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5704796,"about_ca_topic_score_gemma":0.9825646,"domain_scores_codex":[0.998251,0.0001123032,0.0003619048,0.0003600056,0.000726341,0.0001884676],"domain_scores_gemma":[0.9962678,0.00296005,0.0002667555,0.0001114525,0.0002601341,0.0001337869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000166224,0.0001996767,0.977708,0.00003349794,0.00003545263,0.000006339089,0.0008742064,0.002140018,0.00005107649,0.01703511,0.001121103,0.0007788723],"study_design_scores_gemma":[0.000388847,0.0000572303,0.9497783,0.00008680075,0.000003876019,0.00006442589,0.0003677929,0.04181506,0.000006136981,0.0004178504,0.006834471,0.0001792472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860885,0.0005644382,0.0002206822,0.006573687,0.00004510554,0.0001111916,0.0002706638,0.00002539055,0.006100312],"genre_scores_gemma":[0.9871125,0.0001098103,0.001325064,0.0002528344,0.00004270113,0.000001932239,0.0001984745,0.00001285634,0.01094386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.412085,"threshold_uncertainty_score":0.9188547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01035182930825314,"score_gpt":0.2494054059325539,"score_spread":0.2390535766243008,"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."}}