{"id":"W2188302413","doi":"10.18806/tesl.v32i2.1206","title":"Comparing the Lexical Features of EAP Students’ Essays by Prompt and Rating","year":2015,"lang":"en","type":"article","venue":"TESL Canada Journal","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Concordia University; Canada Research Chairs","keywords":"Psychology; Linguistics; Rubric; Lexical density; Lexical diversity; Lexical item; Humanities; Mathematics education; Art; Vocabulary; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002256095,0.0004129207,0.0005434402,0.001464396,0.0002728785,0.0009959893,0.0002887041,0.0004280658,0.00249905],"category_scores_gemma":[0.02889713,0.0001557553,0.0002774714,0.000778876,0.0003653501,0.0007215322,0.001266037,0.0005207543,0.0006820341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001687055,"about_ca_system_score_gemma":0.0001635059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000202389,"about_ca_topic_score_gemma":0.0005081972,"domain_scores_codex":[0.9976597,0.0006188506,0.0005868879,0.0004124105,0.0005940677,0.0001280499],"domain_scores_gemma":[0.9740337,0.01403844,0.005513458,0.001213733,0.003843053,0.001357747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002591427,0.001070715,0.7125781,0.000590502,0.0001826313,0.0005692898,0.01712054,0.0003750452,0.08749527,0.0001495889,0.0006097476,0.1766672],"study_design_scores_gemma":[0.00003507272,0.001203242,0.9860979,0.00002506905,0.00003291028,0.0003417387,0.003480378,0.0004454686,0.007410567,0.0001375135,0.0007685917,0.00002159622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984362,0.00003856291,0.0005544381,0.00001141583,0.000008126594,0.0000472193,0.00007656092,0.00001979255,0.0008077654],"genre_scores_gemma":[0.9971787,0.00006333654,0.001449039,0.00001563303,0.00001103929,0.0001249404,0.0002193543,0.00001535515,0.0009225574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00249905,"threshold_uncertainty_score":0.01193154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03091052329008503,"score_gpt":0.316994654023585,"score_spread":0.2860841307334999,"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."}}