{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008369544,0.0001515127,0.0002157172,0.000516934,0.0003986001,0.0004150603,0.001062221,0.00005856199,0.00001537273],"category_scores_gemma":[5.866971e-7,0.0001303842,0.00007839595,0.001378428,0.000101699,0.0001901955,0.0005793832,0.000328593,0.000249889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003154485,"about_ca_system_score_gemma":0.00004718756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002483509,"about_ca_topic_score_gemma":0.00001064267,"domain_scores_codex":[0.9981575,0.0001281089,0.0002064623,0.0006753918,0.0003970293,0.0004355023],"domain_scores_gemma":[0.9985552,0.0003039306,0.00001942785,0.000809945,0.0002028152,0.0001087266],"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":[0.000006855747,0.0009538553,0.0003393163,0.0001162097,0.0007786885,0.00002316083,0.0006728921,0.01034808,0.01943686,0.4707255,0.04556049,0.4510381],"study_design_scores_gemma":[0.0006722824,0.0001721971,0.004737116,0.00001761257,0.0002640717,0.00006546577,0.00009212584,0.1441472,0.04123989,0.004777103,0.8030283,0.0007866703],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009053038,0.0004216218,0.9850664,0.003549627,0.000006117334,0.0003247903,0.00002513257,0.0001908139,0.001362501],"genre_scores_gemma":[0.420633,0.00004353212,0.5758771,0.0002646979,0.0003931422,0.0003910044,0.00008425662,0.00002594044,0.002287333],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7574678,"threshold_uncertainty_score":0.5316915,"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."}}