{"id":"W2121854496","doi":"10.1145/1099554.1099645","title":"Indexing time vs. query time","year":2005,"lang":"en","type":"article","venue":"","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Search engine indexing; Query expansion; Query optimization; Information retrieval; Response time; Sargable; Focus (optics); Query language; Web query classification; Web search query; Index (typography); Data mining; Database; Search engine; World Wide Web; Operating system","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":[0.008766425,0.001019254,0.001743258,0.001646136,0.001192703,0.006369893,0.002890719,0.00180166,0.0109115],"category_scores_gemma":[0.04069377,0.0008513579,0.0007034041,0.004188992,0.0009791258,0.01286796,0.001838018,0.001703828,0.003659407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001912323,"about_ca_system_score_gemma":0.001572218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001211761,"about_ca_topic_score_gemma":0.001365829,"domain_scores_codex":[0.9918259,0.001947007,0.0005619488,0.001085679,0.003238884,0.001340451],"domain_scores_gemma":[0.9543161,0.03493407,0.002236024,0.004534654,0.003057224,0.0009219837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003167314,0.000605124,0.006003842,0.002043003,0.0001666675,0.000342838,0.001130753,0.07237516,0.2320325,0.1439666,0.008057055,0.5301092],"study_design_scores_gemma":[0.0005216432,0.004137984,0.00819047,0.0002383572,0.0008993244,0.002463986,0.0008862691,0.4913008,0.3041802,0.1377917,0.04905495,0.0003342648],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2281201,0.02298144,0.6829016,0.005764125,0.0006917203,0.0005062158,0.0009238577,0.006702248,0.05140868],"genre_scores_gemma":[0.8034153,0.006298222,0.1768903,0.0005968923,0.0005940316,0.0002805598,0.0006766244,0.001755184,0.009492924],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0109115,"threshold_uncertainty_score":0.04636186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008066757964557575,"score_gpt":0.2286195290006048,"score_spread":0.2205527710360472,"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."}}