{"id":"W4413298069","doi":"10.1007/978-3-031-92602-0_30","title":"Evaluation of Local Explainability Methods in Turkish Text Classification Tasks","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Turkish; Computer science; Artificial intelligence; Natural language processing; Linguistics; Philosophy","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":[0.003883549,0.001787058,0.001181843,0.002173046,0.0007704988,0.001491326,0.001355288,0.001520972,0.004631551],"category_scores_gemma":[0.009410892,0.0002420442,0.001071949,0.001635953,0.0004631832,0.002344867,0.001596622,0.001427539,0.001586928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000858009,"about_ca_system_score_gemma":0.0006997108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004826225,"about_ca_topic_score_gemma":0.005122737,"domain_scores_codex":[0.9978223,0.0009346236,0.0002099452,0.0005351577,0.0003057298,0.0001923528],"domain_scores_gemma":[0.9878939,0.009521774,0.0004295973,0.0006807608,0.001099691,0.0003742204],"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":[0.008746242,0.001953785,0.02025174,0.001375088,0.001106853,0.0003466639,0.0005586778,0.05592285,0.01259109,0.001573886,0.01642377,0.8791493],"study_design_scores_gemma":[0.0006866103,0.003029966,0.03231451,0.0001610725,0.0009850858,0.0003120389,0.0008111121,0.9378951,0.01735246,0.002655745,0.003704948,0.00009143644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9074623,0.01204398,0.06549831,0.0006549027,0.0004115562,0.0003066382,0.002271853,0.004645499,0.006704994],"genre_scores_gemma":[0.9614413,0.0008237656,0.02510066,0.00008530862,0.000166115,0.00018646,0.008941901,0.0002617319,0.00299283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004826225,"threshold_uncertainty_score":0.02053845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06882309600957642,"score_gpt":0.3543764321473846,"score_spread":0.2855533361378081,"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."}}