{"id":"W4230852174","doi":"10.32920/ryerson.14653005","title":"QoS Based Ranking For Web Search","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ranking (information retrieval); Computer science; Search engine; Quality of service; Information retrieval; The Internet; Rank (graph theory); Quality (philosophy); Web page; World Wide Web; Reliability (semiconductor); Data mining; Computer network; 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":[0.0007232653,0.000166885,0.0003006444,0.0001907472,0.0001072384,0.0008947923,0.001639443,0.0001365629,0.0001099959],"category_scores_gemma":[0.00007660384,0.0001522412,0.0002943891,0.0002798079,0.00001776705,0.0001292774,0.001658449,0.0002804313,0.00001887951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003449494,"about_ca_system_score_gemma":0.0006782662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001135159,"about_ca_topic_score_gemma":0.00003636735,"domain_scores_codex":[0.9982852,0.00008450088,0.0002196847,0.0007971626,0.0003298933,0.0002835266],"domain_scores_gemma":[0.998064,0.0002245151,0.00006054311,0.001384226,0.0001879657,0.00007876739],"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":[0.00004473692,0.0009774294,0.00495999,0.003364648,0.002057798,0.0003455185,0.003529113,0.08530703,0.01336726,0.04557229,0.1260184,0.7144557],"study_design_scores_gemma":[0.0002239649,0.00001163137,0.00007992435,0.0001092939,0.00002891167,0.00000100517,0.00004394129,0.9921725,0.00256611,0.0001314778,0.004401666,0.0002296123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004470326,0.00009402972,0.9906738,0.001815329,0.0005264562,0.0001371561,0.00002905928,0.0001922948,0.002061527],"genre_scores_gemma":[0.3883379,0.000008958602,0.609059,0.0006274109,0.0002723978,0.00006188178,0.0002733123,0.00001429265,0.001344817],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9068654,"threshold_uncertainty_score":0.8628502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05521592350213456,"score_gpt":0.304444143029373,"score_spread":0.2492282195272384,"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."}}