{"id":"W4411119578","doi":"10.18653/v1/2025.knowledgenlp-1.1","title":"Entity Retrieval for Answering Entity-Centric Questions","year":2025,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Question answering; Computer science; Information retrieval; Natural language processing; Artificial intelligence; World Wide Web","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":[0.003172729,0.0007843217,0.0008706831,0.003012933,0.0006585854,0.001485741,0.001222768,0.001434925,0.003825379],"category_scores_gemma":[0.01238819,0.0002885608,0.0008492768,0.002960912,0.0006400458,0.004717093,0.001447039,0.001032654,0.001821104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005616511,"about_ca_system_score_gemma":0.0007382196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002541374,"about_ca_topic_score_gemma":0.003302185,"domain_scores_codex":[0.9975808,0.001246103,0.0001659128,0.000462823,0.0004432801,0.0001009972],"domain_scores_gemma":[0.9946964,0.003424163,0.0003755882,0.0008516672,0.0005681881,0.00008397056],"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":[0.0004287857,0.0004569875,0.004832127,0.001785893,0.0002332651,0.0002533518,0.001420889,0.04884514,0.05840943,0.06335994,0.01473504,0.8052391],"study_design_scores_gemma":[0.00009195904,0.0003479641,0.004534854,0.0001062628,0.0002190265,0.0008158296,0.0005321409,0.8651946,0.03055715,0.06975922,0.02774158,0.00009945437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02541365,0.002378003,0.9670122,0.0003775142,0.0000578578,0.00031643,0.0006744856,0.001545674,0.002224201],"genre_scores_gemma":[0.3736815,0.002138783,0.6168748,0.0002438354,0.000234642,0.0003460082,0.003461612,0.0001315807,0.002887329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003825379,"threshold_uncertainty_score":0.01677918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01670143245589756,"score_gpt":0.2788969821843046,"score_spread":0.262195549728407,"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."}}