{"id":"W4393672517","doi":"10.5281/zenodo.7674560","title":"DEplain-APA","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002453105,0.002227886,0.001304836,0.004434803,0.001907485,0.002588591,0.002006077,0.001238162,0.1231976],"category_scores_gemma":[0.00926585,0.001792995,0.001141427,0.004644757,0.000731142,0.002973624,0.003925614,0.002369219,0.1283501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001317495,"about_ca_system_score_gemma":0.002342489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008062419,"about_ca_topic_score_gemma":0.009013121,"domain_scores_codex":[0.9968778,0.000825147,0.0003673736,0.001021988,0.0006707304,0.0002370782],"domain_scores_gemma":[0.9944904,0.001394216,0.0003171093,0.001744197,0.001696382,0.0003576638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004025217,0.00009864449,0.0008691223,0.001440241,0.00008118252,0.0001753226,0.0004330947,0.0005448419,0.006314782,0.002691137,0.9322069,0.05474233],"study_design_scores_gemma":[0.0002774837,0.00009573341,0.006787979,0.0001548365,0.00006134422,0.0004851559,0.0003381981,0.001837007,0.008964363,0.00150118,0.9794258,0.00007082028],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01270184,0.00111781,0.01895335,0.0007580061,0.0007410792,0.001108406,0.8952027,0.02509388,0.04432293],"genre_scores_gemma":[0.0134995,0.0002078167,0.01949583,0.0002525693,0.00008677081,0.00161404,0.9481683,0.005825506,0.01084971],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1231976,"threshold_uncertainty_score":0.412137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04589402950861803,"score_gpt":0.2616816573578845,"score_spread":0.2157876278492665,"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."}}