{"id":"W2385577549","doi":"","title":"Research on Ontology-based Meta Search Engine","year":2008,"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":"Computer science; Ontology; Information retrieval; Search engine; Upper ontology; OWL-S; Semantic Web; World Wide Web; Semantic Web Stack","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":[0.003707526,0.0004792741,0.0009617506,0.003662948,0.0007551163,0.00504104,0.002161827,0.001363014,0.002856561],"category_scores_gemma":[0.005907467,0.000423887,0.001262102,0.003553379,0.001081306,0.01467269,0.001068961,0.001047184,0.001052443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622291,"about_ca_system_score_gemma":0.002556862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003987022,"about_ca_topic_score_gemma":0.00241659,"domain_scores_codex":[0.9973431,0.0008138302,0.0002248932,0.0002837391,0.001168031,0.0001664233],"domain_scores_gemma":[0.9978339,0.0009264709,0.0001165921,0.0003954892,0.0006556894,0.00007194581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001735358,0.0002120956,0.00373555,0.0009001163,0.000216107,0.0002527383,0.001505683,0.01789247,0.008710327,0.6743287,0.005542154,0.2865305],"study_design_scores_gemma":[0.00009197439,0.0002719895,0.002197333,0.0005240441,0.0004150863,0.001502058,0.001754442,0.5236437,0.02657653,0.2911964,0.1516272,0.0001991391],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03082116,0.005861023,0.9270716,0.001584935,0.0001823755,0.0001813047,0.0002576888,0.002222678,0.03181723],"genre_scores_gemma":[0.4582811,0.006813883,0.5199265,0.0006892582,0.0001790044,0.0002565489,0.001257716,0.0004004128,0.01219547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00504104,"threshold_uncertainty_score":0.01960754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1731160275249039,"score_gpt":0.3692062117848389,"score_spread":0.196090184259935,"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."}}