{"id":"W2990464942","doi":"10.3968/11280","title":"Readability Assessment of Business English Textbooks","year":2019,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Readability; Computer science; Reading (process); Business English; Hierarchy; Curriculum; Mathematics education; Linguistics; Psychology; Pedagogy; Political 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":[0.003336719,0.0003561726,0.0004040547,0.006384578,0.0004196621,0.001381836,0.0004368074,0.0003874497,0.003326109],"category_scores_gemma":[0.03731724,0.0001206165,0.000556061,0.002528241,0.0004719261,0.00141357,0.001076545,0.0004419159,0.0005501187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006984526,"about_ca_system_score_gemma":0.0004412832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001358358,"about_ca_topic_score_gemma":0.002090625,"domain_scores_codex":[0.9949737,0.001058535,0.0008920046,0.0004606965,0.002454872,0.0001603418],"domain_scores_gemma":[0.9609066,0.01698167,0.005353711,0.001724253,0.01391924,0.001114601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00188001,0.001043635,0.6249118,0.0009043409,0.0004831966,0.0006314636,0.01478372,0.00183858,0.02417759,0.001441583,0.003936928,0.3239671],"study_design_scores_gemma":[0.00003151164,0.001030734,0.9800178,0.00009477745,0.00008353454,0.0003146389,0.003505324,0.001646874,0.007866966,0.0006441198,0.004707603,0.00005620184],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879072,0.0003293118,0.002063828,0.00008339107,0.00003156263,0.0001561461,0.0005567236,0.00006542957,0.008806359],"genre_scores_gemma":[0.9911293,0.0001880721,0.003604994,0.00004067985,0.00002899472,0.0001347636,0.001416187,0.00003585594,0.003421242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006384578,"threshold_uncertainty_score":0.01764643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01403195545903586,"score_gpt":0.3657289187628263,"score_spread":0.3516969633037905,"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."}}