{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001744313,0.0001624878,0.0004023038,0.001154212,0.002946386,0.00296462,0.0008932039,0.001841024,0.02062381],"category_scores_gemma":[0.01260526,0.0002891975,0.0003365186,0.000890094,0.0008559406,0.002850692,0.002567535,0.002244428,0.00156885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001370376,"about_ca_system_score_gemma":0.003207367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02454836,"about_ca_topic_score_gemma":0.04968743,"domain_scores_codex":[0.99763,0.0004508173,0.00008309151,0.0002572832,0.0003266043,0.001252166],"domain_scores_gemma":[0.9875774,0.004244503,0.00180282,0.0002259382,0.000735586,0.005413849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001591868,0.002814985,0.8764578,0.000112929,0.00007092735,0.0006782483,0.03463795,0.0001225539,0.0006203264,0.005230399,0.01038061,0.06728145],"study_design_scores_gemma":[0.0003244168,0.0006257005,0.7287447,0.0004593885,0.000243907,0.0007956604,0.2367949,0.001750778,0.0008992849,0.00580112,0.02345943,0.0001006706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930106,0.0004501395,0.0001119816,0.002064776,0.00006536712,0.0000364701,0.0001255349,0.00001322344,0.004121951],"genre_scores_gemma":[0.996097,0.0001347889,0.00006314505,0.0004459175,0.00003565213,0.00001762227,0.00007259964,0.000009556562,0.003123755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02454836,"threshold_uncertainty_score":0.06899351,"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."}}