{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003100767,0.001601217,0.001926554,0.008087458,0.0008923677,0.005509655,0.00347403,0.002116212,0.0612655],"category_scores_gemma":[0.0131525,0.001045219,0.002103823,0.006794097,0.0004017322,0.006058019,0.002899199,0.001735887,0.05316446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001239653,"about_ca_system_score_gemma":0.002864236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002528736,"about_ca_topic_score_gemma":0.003344993,"domain_scores_codex":[0.9972799,0.0006330647,0.0004418703,0.000442352,0.0009690199,0.0002337994],"domain_scores_gemma":[0.9939492,0.002292407,0.0003990063,0.001348726,0.001719875,0.0002908336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001182322,0.0002380945,0.002893707,0.00466298,0.0006449774,0.0005624461,0.0003411789,0.004802656,0.01105088,0.05792301,0.5044926,0.4112051],"study_design_scores_gemma":[0.0002527836,0.0001617599,0.001342199,0.000649395,0.0003143009,0.001029524,0.0002097707,0.0312998,0.0163379,0.03601823,0.9122214,0.0001629284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007895824,0.01026775,0.4592456,0.002505179,0.001179781,0.002706962,0.1199492,0.2241349,0.1721149],"genre_scores_gemma":[0.07210586,0.007489517,0.5754287,0.003352833,0.0006458627,0.002658325,0.2175462,0.02645737,0.09431532],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0612655,"threshold_uncertainty_score":0.2049535,"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."}}