{"id":"W4210744263","doi":"10.1145/384268.378788","title":"Controlling the robots of Web search engines","year":2001,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Robot; Queueing theory; Queue; Search engine indexing; Function (biology); Distributed computing; Mathematical optimization; Computer network; Artificial intelligence; Mathematics","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":[0.007857068,0.0001663008,0.0003874309,0.0005050345,0.0002212457,0.00006174348,0.000682898,0.00003945184,0.0007972658],"category_scores_gemma":[0.006579752,0.0001140285,0.0001518128,0.005100194,0.00005855433,0.0009517884,0.0001734891,0.0001672926,0.0002703387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004780921,"about_ca_system_score_gemma":0.00004997065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001167324,"about_ca_topic_score_gemma":0.00000367743,"domain_scores_codex":[0.9979134,0.00008447963,0.0005791045,0.0002307207,0.0009482247,0.0002441149],"domain_scores_gemma":[0.9970995,0.0004908587,0.0004545626,0.0007781463,0.001166291,0.00001064471],"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":[0.00004492951,0.00009267278,0.01879167,0.002935583,0.0001412332,0.000001470873,0.00002728513,0.181888,0.0003129055,0.005664859,0.001330034,0.7887693],"study_design_scores_gemma":[0.0007381489,0.0000176298,0.003270227,0.001387657,0.0009318965,0.000003214908,0.00004099873,0.9390947,0.0000803972,0.001211568,0.05294455,0.0002789927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7374016,0.2291555,0.006470942,0.007748147,0.0007042859,0.003144798,0.000002564791,0.0002146334,0.0151576],"genre_scores_gemma":[0.9338644,0.06312603,0.0003771794,0.001979573,0.0004050278,0.00007652401,0.00002512914,0.00002081838,0.0001253209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7884904,"threshold_uncertainty_score":0.8729502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07701152118727869,"score_gpt":0.3322626155373008,"score_spread":0.2552510943500221,"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."}}