{"id":"W2224219353","doi":"","title":"What we learned from distance and on-campus e-learners","year":2014,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Distance education; Computer science; Mathematics education; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01391165,0.0005175859,0.0009311376,0.001638227,0.00626869,0.01970077,0.002577386,0.003875816,0.01301925],"category_scores_gemma":[0.05000904,0.0004256322,0.001182041,0.001619528,0.004523087,0.02211952,0.01090853,0.005485553,0.003244447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006178834,"about_ca_system_score_gemma":0.01050793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01317973,"about_ca_topic_score_gemma":0.02698192,"domain_scores_codex":[0.9839897,0.008007075,0.0005637784,0.001783852,0.002890726,0.002764968],"domain_scores_gemma":[0.9690737,0.01121206,0.001189705,0.001496741,0.008194876,0.008833045],"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":[0.0006064619,0.002482996,0.1041481,0.001845335,0.0001628928,0.00106765,0.2899437,0.0002856414,0.0008223157,0.0136129,0.03599188,0.5490302],"study_design_scores_gemma":[0.00009239699,0.001089024,0.04777387,0.003861852,0.0001981192,0.001014496,0.7422192,0.0003903296,0.001425722,0.01599877,0.1857634,0.000172953],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7817152,0.01344135,0.00598348,0.09996936,0.003375482,0.0004222987,0.000988137,0.0002027717,0.09390203],"genre_scores_gemma":[0.9305021,0.007312759,0.003094312,0.01926105,0.000566799,0.0003509973,0.0005197962,0.0001917532,0.03820027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01970077,"threshold_uncertainty_score":0.0735727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07411323266489574,"score_gpt":0.3302789931751396,"score_spread":0.2561657605102439,"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."}}