{"id":"W2488992561","doi":"10.4018/978-1-4666-0948-8.ch018","title":"Enhancing Information Retrieval Capabilities of Knowledge Management Systems","year":2012,"lang":"en","type":"book-chapter","venue":"Advances in knowledge acquisition, transfer, and management book series/Advances in knowledge acquisition, transfer and management book series","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Information retrieval; Cloud computing; Cognitive models of information retrieval; Service (business); Metadata; Thesaurus; Context (archaeology); Human–computer information retrieval; World Wide Web; Search engine; Artificial intelligence","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":[0.002955027,0.0005545809,0.0005703948,0.003433841,0.0006026762,0.007130784,0.001196031,0.001254717,0.007812254],"category_scores_gemma":[0.009267181,0.0003765707,0.0007508271,0.003159731,0.001036735,0.0125339,0.001944677,0.0007450095,0.004191731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001388396,"about_ca_system_score_gemma":0.001188016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001289872,"about_ca_topic_score_gemma":0.0008228167,"domain_scores_codex":[0.9976393,0.0007143203,0.000209713,0.0002141798,0.001098126,0.0001243733],"domain_scores_gemma":[0.9955922,0.003096112,0.0001317911,0.0005110244,0.0006012393,0.00006767226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000177946,0.0001941461,0.0005577222,0.002440753,0.00009691731,0.0002130278,0.002667866,0.006475985,0.03585802,0.2418081,0.0179953,0.6915143],"study_design_scores_gemma":[0.0002016909,0.0005267154,0.003130546,0.001804509,0.0004005595,0.001192793,0.002186552,0.0844944,0.07011396,0.2055207,0.6302105,0.0002170584],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.09998236,0.03713692,0.3526363,0.007904905,0.0004392786,0.0006379016,0.0005971511,0.005645402,0.4950199],"genre_scores_gemma":[0.4833565,0.03719567,0.3946737,0.001980494,0.0006221314,0.0004887048,0.001615567,0.0009350844,0.0791322],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.007812254,"threshold_uncertainty_score":0.02613461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007103504731129687,"score_gpt":0.2307944892627988,"score_spread":0.2236909845316691,"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."}}