{"id":"W4410087067","doi":"10.1109/wi-iat62293.2024.00110","title":"Dense Retrieval Systems with LLM-Based Query Expansion","year":2024,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Query expansion; Computer science; Query optimization; Information retrieval; Web search query; Sargable; Query language; Search engine","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":[0.0002942375,0.0000933867,0.0001162172,0.0001455324,0.00006051785,0.0005638326,0.0003530244,0.00003503117,0.00001585961],"category_scores_gemma":[0.00001578286,0.0000595683,0.00004425809,0.0007215499,0.00002016786,0.0003301627,0.00006062516,0.00008234892,0.0001812327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002544091,"about_ca_system_score_gemma":0.0001480271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000143098,"about_ca_topic_score_gemma":0.00001007084,"domain_scores_codex":[0.999009,0.00004668816,0.0001267165,0.0003667044,0.0002907343,0.0001601505],"domain_scores_gemma":[0.9992348,0.0001025106,0.00001907471,0.0005296573,0.00004246726,0.00007148003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003358044,0.001089719,0.006469748,0.002194786,0.001399366,0.008991133,0.004393499,0.03177598,0.03952204,0.3689864,0.3991338,0.1357077],"study_design_scores_gemma":[0.0001114636,0.0001235437,0.00007325887,0.0001913529,0.00002372517,0.00003117738,0.00007024498,0.9886518,0.002318698,0.00002825719,0.008215335,0.0001612142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03925771,0.0004771095,0.9568125,0.0007325581,0.0003299927,0.00004922517,0.000004987207,0.0006276629,0.001708248],"genre_scores_gemma":[0.9851246,0.000004052225,0.01184599,0.0001391421,0.00006886495,0.000002568436,0.000009969435,0.000007762501,0.002797062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9568757,"threshold_uncertainty_score":0.5437051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01322490853776904,"score_gpt":0.2296463837961955,"score_spread":0.2164214752584265,"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."}}