{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002968712,0.0002154217,0.0003057874,0.001182636,0.0003058426,0.0007729179,0.003405149,0.0001094923,0.000001270593],"category_scores_gemma":[0.00005355732,0.0001592501,0.00004203727,0.001295836,0.001229748,0.004138361,0.002136135,0.0005702781,0.000005324311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002546624,"about_ca_system_score_gemma":0.0003440493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008492871,"about_ca_topic_score_gemma":0.00002821472,"domain_scores_codex":[0.9978632,0.00005919633,0.0009323616,0.0003207384,0.0005756902,0.0002488059],"domain_scores_gemma":[0.9966415,0.0003517804,0.0003710462,0.002060503,0.000527473,0.00004776825],"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":[0.000005033883,0.00002749199,0.00008975631,0.000100003,0.000006756611,7.717013e-7,0.008280604,0.003301609,0.000002541173,0.9640021,0.0000132111,0.02417009],"study_design_scores_gemma":[0.00005855535,0.0001042313,0.0001545341,0.000635618,0.000006473667,0.00002864174,0.000741424,0.9763462,0.00007284251,0.01311118,0.008492081,0.0002482423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003936045,0.0005845692,0.8630013,0.0004526808,0.0001307864,0.0008474531,0.000003548466,0.0001002532,0.1344858],"genre_scores_gemma":[0.9464093,0.0004450674,0.05261287,0.0001658444,0.00001564964,0.00007432859,0.000007808609,0.00000990177,0.000259242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9730446,"threshold_uncertainty_score":0.7453265,"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."}}