{"id":"W2102053751","doi":"10.5539/elt.v3n1p173","title":"Using High Level Upperclass Undergraduates as TAs in Large Lower Division EFL Classes","year":2010,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Higher Education and Teaching Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Class (philosophy); Psychology; Mathematics education; Division (mathematics); Computer science; Artificial intelligence; Mathematics; Arithmetic","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00261722,0.0002602681,0.0002675624,0.0003328734,0.000336752,0.0004485265,0.0009680604,0.0001683659,0.0001154511],"category_scores_gemma":[0.002063164,0.0002436754,0.00009123959,0.0003614874,0.00003637841,0.0009791289,0.0003500213,0.001709731,0.00004228345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001000086,"about_ca_system_score_gemma":0.0001298957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001152338,"about_ca_topic_score_gemma":0.0003919351,"domain_scores_codex":[0.9974241,0.0007024819,0.0003446858,0.0005849655,0.0003902315,0.000553488],"domain_scores_gemma":[0.9982896,0.0005431469,0.0001222623,0.0008296547,0.00004670577,0.0001685772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001226995,0.001467799,0.04129693,0.00006169386,0.00005520783,0.0002685547,0.3578568,0.0003255751,0.07790402,0.4434637,0.0006213929,0.07666598],"study_design_scores_gemma":[0.01703494,0.001062571,0.3363364,0.001999495,0.0002182588,0.0004588285,0.1291155,0.1894698,0.08485626,0.06883764,0.1582867,0.01232354],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7938778,0.00005568966,0.1981046,0.0004148734,0.003327227,0.0001134842,0.00000461159,0.000354313,0.003747283],"genre_scores_gemma":[0.8041271,0.000001262896,0.1945315,0.0003714362,0.0003800997,0.000005936176,0.00001113267,0.00002873445,0.0005428401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3746261,"threshold_uncertainty_score":0.9936795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03036388423702847,"score_gpt":0.3533164448708405,"score_spread":0.322952560633812,"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."}}