{"id":"W2787893138","doi":"10.5539/ijel.v8n3p297","title":"Lexical Complexity on Descriptive Writing of Indonesian Male and Female EFL Learners","year":2018,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indonesian; Lexical diversity; Lexical density; Linguistics; Descriptive research; Psychology; Subject (documents); Academic writing; Diversity (politics); Applied linguistics; Mathematics education; Lexical item; Computer science; Sociology; Vocabulary; World Wide Web; Social science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004634689,0.0002489362,0.0002761218,0.0009814149,0.0004208622,0.001126957,0.0001456113,0.0002059919,0.003461837],"category_scores_gemma":[0.006103263,0.000119855,0.0001274428,0.0003308368,0.0004488103,0.0004270271,0.0005871892,0.0002311329,0.0005716662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001677436,"about_ca_system_score_gemma":0.000172286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004940865,"about_ca_topic_score_gemma":0.0009944035,"domain_scores_codex":[0.9995182,0.00009212348,0.00007331958,0.00007776752,0.0002002832,0.00003837005],"domain_scores_gemma":[0.995311,0.001941912,0.001442779,0.0001569625,0.0006567864,0.0004906982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005836448,0.0004116102,0.877782,0.0001446379,0.00004846397,0.001840333,0.02532605,0.0001230587,0.04143447,0.0002129332,0.0002770398,0.05181576],"study_design_scores_gemma":[0.000007969038,0.0003404958,0.9822416,0.00002211836,0.00001492022,0.001920237,0.01207397,0.0002689672,0.002176163,0.0001655985,0.000752355,0.00001560804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990767,0.00004292125,0.00005590656,0.00001500455,0.000002015034,0.000002921171,0.00001951028,0.000001714613,0.0007832943],"genre_scores_gemma":[0.9989538,0.0000528545,0.0001031255,0.00001114708,0.000004313815,0.000006373429,0.00003031438,0.000003247831,0.0008347728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003461837,"threshold_uncertainty_score":0.011581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04982906685100483,"score_gpt":0.3531461317812689,"score_spread":0.3033170649302641,"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."}}