{"id":"W3183940262","doi":"10.1561/1100000089","title":"Readability Research: An Interdisciplinary Approach","year":2022,"lang":"en","type":"article","venue":"Foundations and Trends® in Human–Computer Interaction","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Readability; Data science; Computer science; Information retrieval; Programming language","routes":{"ca_aff":true,"ca_fund":false,"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":[0.02259354,0.001643963,0.002971383,0.02372184,0.001309249,0.01233679,0.003021902,0.003521631,0.004193451],"category_scores_gemma":[0.03686842,0.0006782677,0.00114343,0.0146739,0.01103362,0.01410896,0.004683545,0.003554252,0.000859452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004695272,"about_ca_system_score_gemma":0.004224228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002022986,"about_ca_topic_score_gemma":0.001718943,"domain_scores_codex":[0.9787906,0.01203413,0.001731665,0.002669367,0.004429812,0.0003445346],"domain_scores_gemma":[0.9251301,0.06327845,0.002562874,0.002938253,0.005501121,0.0005892455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008298487,0.0002933149,0.006526746,0.01927732,0.0004414242,0.000312102,0.02100676,0.001480554,0.002622223,0.3447016,0.009269487,0.5939854],"study_design_scores_gemma":[0.00003413199,0.0004842697,0.0209029,0.03050175,0.000395668,0.001365313,0.02595718,0.002640217,0.003029357,0.522753,0.3917574,0.0001788206],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0131009,0.8416986,0.08462614,0.01667856,0.00112137,0.0003985425,0.0003042331,0.0001983731,0.04187326],"genre_scores_gemma":[0.1710276,0.7179174,0.09120484,0.00556535,0.003049746,0.001365578,0.0004402982,0.0001944208,0.009234779],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02372184,"threshold_uncertainty_score":0.1194875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1707777209889459,"score_gpt":0.4425319273195456,"score_spread":0.2717542063305997,"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."}}