{"id":"W2376241126","doi":"","title":"Research on Search Engines and Meta Search Engine","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metasearch engine; Search engine; Computer science; Search analytics; Spamdexing; Quality (philosophy); Database search engine; Information retrieval; Beam search; Keyword search; Search algorithm; Web search query; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.006611844,0.0008675676,0.001502637,0.005812848,0.000917947,0.006614018,0.002154699,0.002157115,0.004374803],"category_scores_gemma":[0.01518406,0.0009788008,0.001066311,0.008873703,0.00178552,0.02842815,0.00135021,0.002178738,0.002591281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00211478,"about_ca_system_score_gemma":0.002256451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001516638,"about_ca_topic_score_gemma":0.001298278,"domain_scores_codex":[0.995186,0.001501323,0.0003543458,0.0008114407,0.001919959,0.0002268194],"domain_scores_gemma":[0.9887226,0.00648793,0.0005253768,0.001472249,0.002595326,0.0001965576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001578599,0.0001628544,0.003082524,0.002359683,0.0001699978,0.0001299892,0.0006839911,0.006633606,0.004380237,0.6127946,0.007289496,0.3621552],"study_design_scores_gemma":[0.000122382,0.0005957377,0.002679712,0.001546449,0.0004718168,0.002052155,0.00107319,0.1223683,0.02206593,0.5125753,0.3342378,0.0002111443],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.04106248,0.1688136,0.7021415,0.006861664,0.0009826912,0.0002794033,0.0004376366,0.001568633,0.07785242],"genre_scores_gemma":[0.3362248,0.1295325,0.5003024,0.002833356,0.002290594,0.0005801741,0.001261412,0.0006650454,0.0263097],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006614018,"threshold_uncertainty_score":0.03496718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05728733467465125,"score_gpt":0.3349116098106552,"score_spread":0.2776242751360039,"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."}}