{"id":"W2572725214","doi":"","title":"Redefining \"What\" in Analyses of Who Does What in MOOCs.","year":2016,"lang":"en","type":"article","venue":"Educational Data Mining","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Data 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":[],"consensus_categories":[],"category_scores_codex":[0.000578754,0.00008796583,0.0001675214,0.0003151167,0.00003245661,0.0002189931,0.001085564,0.00003526571,0.00003898428],"category_scores_gemma":[0.0006686894,0.00006025109,0.00002078447,0.0005542362,0.00004451875,0.003439039,0.0003840482,0.00008648224,0.00001345622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003676886,"about_ca_system_score_gemma":0.0003178384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001026409,"about_ca_topic_score_gemma":0.0001082217,"domain_scores_codex":[0.9987901,0.00007299207,0.0003363454,0.0003907228,0.0002265396,0.0001833004],"domain_scores_gemma":[0.9983543,0.0006789082,0.0001412113,0.0007319194,0.00005155944,0.00004215569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001116044,0.0003762685,0.3740636,0.00005577817,0.00005118694,0.00001125649,0.006279539,0.0007281151,0.00261395,0.0232931,0.003030556,0.5894855],"study_design_scores_gemma":[0.00185142,0.0001313509,0.7668375,0.01053671,0.00004079724,0.00002406184,0.01511968,0.1680898,0.002098158,0.02410698,0.01000578,0.00115771],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9272537,0.002128302,0.005529826,0.06337526,0.00112986,0.00007119122,0.00003373165,0.00003392629,0.0004442309],"genre_scores_gemma":[0.9463766,0.0005267751,0.05214637,0.0001550175,0.0001538581,0.000003584258,0.00007155089,0.000006862639,0.0005594239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5883278,"threshold_uncertainty_score":0.249322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1005401988072912,"score_gpt":0.3978176205060965,"score_spread":0.2972774216988053,"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."}}