{"id":"W4407953359","doi":"10.1145/3701551.3703480","title":"Query Performance Prediction: Theory, Techniques and Applications","year":2025,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"","keywords":"Computer science; Artificial intelligence; 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":[0.0001572204,0.00003901641,0.00003358714,0.00006682466,0.00009231054,0.0001195652,0.0003049157,0.0000135024,0.000007956512],"category_scores_gemma":[0.000001328131,0.00003230661,0.000007259455,0.0002117456,0.00002566662,0.0005390899,0.0002625933,0.00003047189,0.000009291509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005190816,"about_ca_system_score_gemma":0.000008178403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001670996,"about_ca_topic_score_gemma":3.148483e-7,"domain_scores_codex":[0.9996662,0.000007874315,0.00006272174,0.0001543544,0.00004600177,0.00006282085],"domain_scores_gemma":[0.9996556,0.00001678569,0.00001071645,0.0002894221,0.00001426641,0.00001319146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[2.374552e-7,0.000005461515,0.0002888448,0.000006571601,0.000002585494,1.265137e-7,0.000003842319,1.268691e-7,0.000003214346,0.540426,0.002055085,0.457208],"study_design_scores_gemma":[0.00008654018,0.00002447365,0.002599523,0.00001661169,0.000005681369,0.000002954285,0.00001717887,0.01627244,0.002017419,0.03735048,0.9415283,0.00007835474],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000070024,0.00006853615,0.8080107,0.0004632223,0.00003865441,0.0001264373,0.000001184254,0.0003145704,0.1909067],"genre_scores_gemma":[0.2137963,0.002334956,0.5630084,0.003584963,0.0005109411,0.00121799,0.0000426432,0.00001413541,0.2154897],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9394733,"threshold_uncertainty_score":0.1317426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004753132183198136,"score_gpt":0.2203244713222114,"score_spread":0.2155713391390133,"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."}}