{"id":"W2141897300","doi":"10.1109/icde.1994.283064","title":"Fast ranking in limited space","year":2002,"lang":"en","type":"article","venue":"","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Information Technology Research Centre","keywords":"Ranking (information retrieval); Computer science; Search engine indexing; Information retrieval; Space (punctuation); Selection (genetic algorithm); Process (computing); Implementation; Data mining; Machine learning; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001194864,0.00004124426,0.00004793974,0.0001176003,0.00003550354,0.00009511923,0.0002752453,0.00002204301,0.0003134976],"category_scores_gemma":[0.00001626231,0.00003326051,0.00001837153,0.0004744589,0.000009151136,0.0005312659,0.0000751422,0.00007511077,0.0005463953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001832068,"about_ca_system_score_gemma":0.000005018162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001877023,"about_ca_topic_score_gemma":0.000007117731,"domain_scores_codex":[0.9994638,0.00001496664,0.0001065928,0.00008018572,0.0001775484,0.0001569266],"domain_scores_gemma":[0.9997395,0.0000220391,0.0000155056,0.0001552406,0.00002980695,0.00003789976],"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":[0.000006451097,0.0002229626,0.01397372,0.00001839895,0.000004909706,0.00007716251,0.01118418,0.0003373598,0.001391666,0.3663448,0.007899959,0.5985384],"study_design_scores_gemma":[0.0008066777,0.0000632066,0.0265946,0.00001563224,8.084391e-7,0.00001617913,0.0001118201,0.951457,0.004247788,0.0003205131,0.01614019,0.000225624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.224553,0.00004686271,0.5320118,0.006635044,0.0002850628,0.0002636065,6.161981e-7,0.0003763337,0.2358277],"genre_scores_gemma":[0.9831451,0.000008162439,0.0112092,0.0004721926,0.00001046049,0.0000029593,3.685779e-7,0.000001569045,0.005149999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9511196,"threshold_uncertainty_score":0.7022989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0329406204038966,"score_gpt":0.2388315740448544,"score_spread":0.2058909536409578,"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."}}