{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00152034,0.0001426766,0.0001624461,0.0009788101,0.001556818,0.0004713835,0.0006447487,0.00004711888,0.0001688574],"category_scores_gemma":[0.00001014582,0.000151574,0.00005884071,0.001080567,0.000117008,0.001781895,0.001316546,0.0006750158,0.000007204985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003991872,"about_ca_system_score_gemma":0.00002911035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003165599,"about_ca_topic_score_gemma":0.0002492573,"domain_scores_codex":[0.9973254,0.0007806126,0.0004235267,0.0008069366,0.0003813357,0.0002821781],"domain_scores_gemma":[0.9987093,0.0001644265,0.0001031818,0.0008267282,0.0001088243,0.0000875973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004222889,0.002118365,0.002106907,0.00002679546,0.00002138933,0.000007633626,0.01434617,0.004562465,0.0003008122,0.1556745,0.001329845,0.819463],"study_design_scores_gemma":[0.0006081894,0.001242669,0.2281518,0.0000214511,0.000009783475,0.0002209494,0.002815201,0.6702983,0.00008047822,0.07744272,0.01854915,0.0005593075],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7075609,0.00002250387,0.28322,0.001623578,0.0008134408,0.0003227408,0.00001181418,0.0002389901,0.006186032],"genre_scores_gemma":[0.9877316,0.000001251523,0.01134417,0.00004280001,0.0001311097,0.0002120246,0.0002673221,0.000009718215,0.0002600492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8189036,"threshold_uncertainty_score":0.999743,"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."}}