{"id":"W4392148527","doi":"10.1007/978-3-031-54303-6_1","title":"Unlocking the Power of Explainability in Ranking Systems: A Visual Analytics Approach with XAI Techniques","year":2024,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Ranking (information retrieval); Visual analytics; Analytics; Computer science; Data science; Information retrieval; Visualization; Data mining","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":[0.003483262,0.0009140426,0.0007166779,0.002847614,0.0008581775,0.005374895,0.001717318,0.0007817128,0.009563879],"category_scores_gemma":[0.0136186,0.0006292771,0.001253977,0.002719419,0.002410026,0.00854593,0.002544519,0.00315021,0.00109729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001440963,"about_ca_system_score_gemma":0.0009842874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003139373,"about_ca_topic_score_gemma":0.003686154,"domain_scores_codex":[0.9981307,0.0008528272,0.0001127853,0.000231642,0.0005965065,0.00007558423],"domain_scores_gemma":[0.9914019,0.006626622,0.000483192,0.0009027137,0.0004775526,0.0001080799],"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":[0.00004478383,0.00005186521,0.001379519,0.0003987891,0.00006847036,0.00007891931,0.001563732,0.01305812,0.001544172,0.7403442,0.009475675,0.2319918],"study_design_scores_gemma":[0.00001261963,0.00003147333,0.0008476393,0.0001239093,0.00003905512,0.00008042385,0.0004356249,0.1533249,0.00202687,0.8131936,0.02985288,0.00003086428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007693369,0.001054696,0.9716501,0.002595519,0.00008476061,0.00005798856,0.0003047955,0.001716943,0.01484186],"genre_scores_gemma":[0.1733467,0.00104986,0.8176976,0.0002461429,0.0001407263,0.0001441655,0.0006342496,0.0005715511,0.006168856],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009563879,"threshold_uncertainty_score":0.0319944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04257029119110668,"score_gpt":0.3098513979998137,"score_spread":0.267281106808707,"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."}}