{"id":"W3025258433","doi":"","title":"Help-Seekers and Help-Providers in MOOCs","year":2018,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Internet privacy; Seekers; Business; Computer science; Public relations; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007794907,0.0003741543,0.0004205677,0.0003901695,0.000322084,0.0004915704,0.0004331423,0.0001703372,0.00008947621],"category_scores_gemma":[0.0001108655,0.000394376,0.00004023976,0.001125958,0.0002253759,0.000590505,0.0001872326,0.001055651,0.00006968771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004005423,"about_ca_system_score_gemma":0.0007362859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001443301,"about_ca_topic_score_gemma":0.001844181,"domain_scores_codex":[0.9966798,0.0004384682,0.000575709,0.001016444,0.0006523735,0.0006371403],"domain_scores_gemma":[0.9982319,0.0001700048,0.0006188129,0.0004775,0.00017618,0.0003256239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001316051,0.0004256462,0.5068281,0.0002243158,0.00002214413,0.00001843224,0.002370558,0.0001058766,0.0001792278,0.3513665,0.001827578,0.1365],"study_design_scores_gemma":[0.00173013,0.00167031,0.8653179,0.001339725,0.00002033065,0.00001852034,0.003463869,0.02762723,0.00009861969,0.03715949,0.06031526,0.00123856],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7306151,0.001338396,0.0008352434,0.2181737,0.00291478,0.00107633,0.00001074477,0.0004645994,0.044571],"genre_scores_gemma":[0.9661897,0.0005698576,0.00222131,0.002114689,0.0003033808,0.00003961253,0.00001398821,0.00003342569,0.02851406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3584898,"threshold_uncertainty_score":0.9998508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05517995967870081,"score_gpt":0.3023119838278276,"score_spread":0.2471320241491268,"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."}}