{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002092976,0.001033288,0.00224532,0.003241941,0.00161245,0.003586655,0.001705516,0.001198571,0.01279355],"category_scores_gemma":[0.01293808,0.0008092923,0.0009731084,0.005807089,0.001105204,0.007644221,0.002858466,0.001046826,0.008915786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001165197,"about_ca_system_score_gemma":0.00133636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003667881,"about_ca_topic_score_gemma":0.005025438,"domain_scores_codex":[0.9964225,0.001073413,0.000188313,0.0004194842,0.001525797,0.0003705665],"domain_scores_gemma":[0.9918609,0.004337518,0.0004233624,0.001954987,0.001247532,0.0001756063],"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":[0.0009355555,0.0001925814,0.001494782,0.0007852277,0.0001084276,0.0002325743,0.000623001,0.06196216,0.02845768,0.1216574,0.03596748,0.7475831],"study_design_scores_gemma":[0.0003522506,0.0007322324,0.002186408,0.0001056692,0.0001186685,0.0008351188,0.000515468,0.6611856,0.03643341,0.2398856,0.05749272,0.0001569078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03741488,0.00237168,0.9388617,0.0004909623,0.0001452844,0.0002037329,0.0007690749,0.009155756,0.01058697],"genre_scores_gemma":[0.3083575,0.001534155,0.6671431,0.000243357,0.000224508,0.0004784687,0.002556207,0.0009379216,0.01852475],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01279355,"threshold_uncertainty_score":0.04279864,"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."}}