{"id":"W2400166611","doi":"","title":"Supervised Learning for Linking Named Entities to Knowledge Base Entries.","year":2011,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Knowledge base; Entity linking; Task (project management); Artificial intelligence; Rank (graph theory); Base (topology); Information retrieval; Range (aeronautics); Machine learning; Supervised learning; Feature (linguistics); Simple (philosophy); Data mining; Natural language processing; Mathematics; Artificial neural network","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":[0.004634102,0.001283449,0.001307284,0.005776118,0.001144612,0.001901565,0.003568116,0.001952629,0.002141329],"category_scores_gemma":[0.02099612,0.0006620996,0.001233966,0.005051304,0.0009013377,0.005252574,0.002057442,0.001942264,0.003116673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009102608,"about_ca_system_score_gemma":0.001595314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001777032,"about_ca_topic_score_gemma":0.003355908,"domain_scores_codex":[0.995282,0.002231746,0.0002960258,0.001065205,0.0009960239,0.0001290115],"domain_scores_gemma":[0.9834437,0.01080917,0.001533957,0.002572848,0.001397212,0.0002431429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000203742,0.0008089344,0.0054428,0.001067038,0.0004643931,0.0001906295,0.0003858652,0.09476987,0.005386381,0.01816446,0.02085468,0.8522612],"study_design_scores_gemma":[0.00003823404,0.0001186715,0.001305076,0.00009196131,0.00009446281,0.0002291401,0.0001599787,0.9142372,0.007368287,0.06633348,0.009979313,0.000044214],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008009322,0.001046465,0.986334,0.0002286776,0.00008214778,0.0001960136,0.0006380393,0.002267824,0.0011976],"genre_scores_gemma":[0.1617488,0.001111697,0.8251028,0.0002280686,0.0003226734,0.0005790429,0.008093078,0.0002301139,0.002583789],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005776118,"threshold_uncertainty_score":0.02450776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02576742071232573,"score_gpt":0.252675748689076,"score_spread":0.2269083279767503,"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."}}