{"id":"W4254692379","doi":"10.32920/ryerson.14657823.v1","title":"Meta search engine","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":"Search engine; Search analytics; Metasearch engine; sort; Computer science; Spamdexing; Information retrieval; Search engine optimization; Database search engine; Quality (philosophy); Frame (networking); World Wide Web; Web search query","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":[0.000448513,0.0001580868,0.0003892043,0.0001392415,0.00004096185,0.0006900544,0.001772457,0.0001019576,0.0004805151],"category_scores_gemma":[0.00002206255,0.0001235408,0.0003396796,0.0003201506,0.00001366266,0.0001507279,0.004715827,0.0003984496,0.00008369576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001601244,"about_ca_system_score_gemma":0.0001848109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003741219,"about_ca_topic_score_gemma":0.00002153956,"domain_scores_codex":[0.9985356,0.00008835932,0.0001740963,0.0006666922,0.0003342854,0.000200911],"domain_scores_gemma":[0.997943,0.00005940394,0.00003502581,0.001769239,0.0001063956,0.0000868948],"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":[0.000004165622,0.001042209,0.0008176968,0.001039032,0.06734253,0.001834693,0.007929588,0.07781763,0.001738898,0.1053322,0.07572833,0.659373],"study_design_scores_gemma":[0.0001383015,0.00002235996,0.0002905715,0.00005894819,0.001829286,0.00002081851,0.0001437603,0.9769863,0.008834208,0.0009007413,0.009910448,0.0008641845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00220364,0.001044948,0.9878283,0.002042972,0.0002460977,0.00003494727,0.00000910396,0.0002198394,0.00637017],"genre_scores_gemma":[0.2722216,0.0002107867,0.7119215,0.000486171,0.0001646001,0.00002397425,0.000198963,0.00001419539,0.01475829],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8991687,"threshold_uncertainty_score":0.6654211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1113048988719346,"score_gpt":0.2968928207789128,"score_spread":0.1855879219069782,"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."}}