{"id":"W7134952711","doi":"10.1109/icdmw69685.2025.00443","title":"Achieving Robust and Faithful Explanations via Conditional Pairwise Contrast","year":2025,"lang":"","type":"article","venue":"","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Earl Haig Secondary School","funders":"","keywords":"Pairwise comparison; Contrast (vision); Pattern recognition (psychology); Conditional independence; Feature (linguistics)","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007625577,0.0004115411,0.0004171352,0.0005208651,0.001209008,0.001079448,0.0009293954,0.0002087961,0.001014261],"category_scores_gemma":[0.0003409728,0.000437393,0.0001287353,0.001264647,0.0005082777,0.001814497,0.0006212108,0.000413213,0.0002934942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001739154,"about_ca_system_score_gemma":0.0004658728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003612669,"about_ca_topic_score_gemma":0.0005678507,"domain_scores_codex":[0.99659,0.0002364058,0.0008574789,0.001054534,0.0004766629,0.0007849168],"domain_scores_gemma":[0.9974007,0.0009124045,0.000183174,0.0006973882,0.0005106535,0.0002956656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002048104,0.0002830247,0.002766912,0.00007427212,0.0001236908,0.00004918078,0.001042232,0.004097483,0.001580606,0.9303811,0.006777103,0.05280395],"study_design_scores_gemma":[0.0005629896,0.0001979828,0.01161326,0.0002709178,0.00009404452,0.00005746528,0.002135843,0.9182021,0.009595145,0.04710788,0.009308361,0.0008539782],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009285506,0.0008356898,0.9471722,0.0130645,0.0009525361,0.0005676129,0.00003172963,0.0001998447,0.02789037],"genre_scores_gemma":[0.9772541,0.0001464052,0.01318305,0.00257711,0.0001322787,0.0000628307,0.00002210313,0.00001540325,0.006606748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9679686,"threshold_uncertainty_score":0.9999575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02446883306104261,"score_gpt":0.264594152283387,"score_spread":0.2401253192223443,"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."}}