{"id":"W7015866577","doi":"","title":"University of Amsterdam at the CLEF 2022 SimpleText Track","year":2022,"lang":"en","type":"article","venue":"UvA-DARE (University of Amsterdam)","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Universiteit van Amsterdam; Canadian Institute of Steel Construction","keywords":"Clef; Context (archaeology); Misinformation; Readability; Reading (process); Relevance (law); Set (abstract data type); Rewriting","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.009299314,0.001970728,0.002505027,0.002610317,0.001914044,0.00766585,0.002366372,0.00362319,0.209573],"category_scores_gemma":[0.01813016,0.0006862964,0.00119224,0.002445704,0.0008236584,0.003705397,0.002265722,0.003081632,0.1054205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003712381,"about_ca_system_score_gemma":0.004140587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01448865,"about_ca_topic_score_gemma":0.01173844,"domain_scores_codex":[0.9917035,0.002863374,0.0002788116,0.001677299,0.002753693,0.0007233545],"domain_scores_gemma":[0.9899083,0.003554363,0.0003494777,0.001419041,0.002502175,0.002266538],"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":[0.0007185771,0.000222698,0.00048846,0.0006021673,0.00006576716,0.0003092932,0.00008619846,0.001532712,0.002908155,0.006153143,0.9257338,0.06117909],"study_design_scores_gemma":[0.0009442177,0.0002810682,0.002049069,0.000146288,0.0000281392,0.0002829734,0.0001034749,0.01044119,0.00360278,0.004587255,0.9774473,0.00008627692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.046221,0.03524093,0.0513832,0.04952541,0.02064254,0.002800692,0.3043342,0.05492792,0.434924],"genre_scores_gemma":[0.1324188,0.005196299,0.08460391,0.004915088,0.003898659,0.002096136,0.4250427,0.01279693,0.3290314],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.209573,"threshold_uncertainty_score":0.7010916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01408198109943822,"score_gpt":0.1891549743513123,"score_spread":0.1750729932518741,"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."}}