{"id":"W1586471131","doi":"","title":"A Readability Study and Its Relevance to Simplification on Translations of Lun Yu","year":2014,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Readability; Sentence; Reading (process); Linguistics; Index (typography); Computer science; Relevance (law); Natural language processing; Philosophy; World Wide Web","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":[0.0004979852,0.00009525706,0.0001796628,0.00008822061,0.00007074887,0.00003465292,0.0001388546,0.00003748585,5.119702e-7],"category_scores_gemma":[0.0004227617,0.00007527562,0.00001519826,0.0003842498,0.00004003429,0.0001752281,0.00005397033,0.0001019559,8.138526e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001398737,"about_ca_system_score_gemma":0.000005548725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008004646,"about_ca_topic_score_gemma":0.0001019133,"domain_scores_codex":[0.9990876,0.0001347954,0.0002127436,0.0003490855,0.0001139892,0.0001017733],"domain_scores_gemma":[0.999106,0.0003523121,0.00004479796,0.0003805216,0.00008113821,0.00003526478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00008459149,0.000592297,0.008181618,0.0003976274,0.00004298015,0.000004916753,0.6194567,0.00004878232,0.004472595,0.09163943,0.0001287856,0.2749497],"study_design_scores_gemma":[0.001785018,0.002892123,0.9300014,0.0008126067,0.00005291834,0.00001687242,0.01876254,0.005787437,0.005072539,0.02805191,0.005851428,0.0009131571],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922167,0.003251577,0.002449852,0.00114594,0.00006171568,0.0004551693,0.000009822574,0.00003128696,0.0003779535],"genre_scores_gemma":[0.9983886,0.00006422992,0.001289186,0.0001428882,0.0000247594,0.00003690065,0.000002561255,0.000002872745,0.00004798619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9218198,"threshold_uncertainty_score":0.3069651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0239070417033075,"score_gpt":0.3340671695770551,"score_spread":0.3101601278737476,"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."}}