{"id":"W4367558144","doi":"10.3390/math11092063","title":"Text Simplification to Specific Readability Levels","year":2023,"lang":"en","type":"article","venue":"Mathematics","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; King Saud University","keywords":"Readability; Computer science; Sentence; Classifier (UML); Artificial intelligence; Natural language processing; Task (project management); Text simplification; Programming language","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001077305,0.001303347,0.000970656,0.001301827,0.0004143704,0.001288763,0.001238632,0.0007685756,0.007901552],"category_scores_gemma":[0.01330108,0.0004678216,0.001017816,0.0006611472,0.0005946304,0.003514632,0.001700623,0.001980264,0.003711953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009241517,"about_ca_system_score_gemma":0.0005695142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002325103,"about_ca_topic_score_gemma":0.003665859,"domain_scores_codex":[0.9981672,0.0002813643,0.0001562795,0.0008397148,0.0004477238,0.0001077673],"domain_scores_gemma":[0.9932095,0.002625741,0.0009420684,0.001589359,0.001392543,0.0002407605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001116584,0.0004267865,0.01642899,0.001187216,0.0002104146,0.0005722773,0.0009798136,0.04456908,0.192326,0.00489311,0.02103676,0.7162529],"study_design_scores_gemma":[0.0001313386,0.0007924839,0.03860219,0.0001823286,0.0002406864,0.0009199452,0.0004847567,0.6217172,0.2557233,0.02191293,0.05911437,0.0001785074],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2949397,0.001807298,0.6355922,0.0009005658,0.0003227362,0.0005342107,0.004787463,0.04300419,0.01811165],"genre_scores_gemma":[0.7434807,0.0004716759,0.2286087,0.0003721383,0.0001383935,0.0003308269,0.01128268,0.001712994,0.01360192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007901552,"threshold_uncertainty_score":0.02643329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08187653957215646,"score_gpt":0.3015701657841328,"score_spread":0.2196936262119763,"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."}}