{"id":"W2183255880","doi":"","title":"Illinois Cognitive Computation Group UI-CCG TAC 2013 Entity Linking and Slot Filler Validation Systems","year":2013,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Filler (materials); Computer science; Computation; Knowledge base; Logical consequence; Entity linking; Natural language processing; Group (periodic table); Base (topology); Information retrieval; Artificial intelligence; Programming language; Mathematics; Engineering","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":[0.008343401,0.001147487,0.001000057,0.003400867,0.003627716,0.006552155,0.00261402,0.001701436,0.03834607],"category_scores_gemma":[0.02779503,0.0008392663,0.0009669892,0.002875209,0.001428427,0.004604014,0.004647899,0.002458599,0.02041766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004688596,"about_ca_system_score_gemma":0.01224488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04133767,"about_ca_topic_score_gemma":0.06178229,"domain_scores_codex":[0.9913662,0.003204588,0.0005307202,0.001262774,0.003031045,0.0006045227],"domain_scores_gemma":[0.9789289,0.005850336,0.0004510556,0.003069606,0.0103865,0.001313549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005873418,0.0003009863,0.002172277,0.0003206759,0.00006580623,0.0004172192,0.001877634,0.007145642,0.007353471,0.04264723,0.5560796,0.3810321],"study_design_scores_gemma":[0.0002751282,0.0002012387,0.005082073,0.0002532575,0.00009754057,0.0006418463,0.001755416,0.1887782,0.02794194,0.06369611,0.710977,0.0003002138],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04518654,0.001096786,0.5771549,0.01028322,0.001940619,0.002085076,0.01127726,0.09189014,0.2590855],"genre_scores_gemma":[0.2564146,0.0004311536,0.596993,0.001514559,0.0004290678,0.002359079,0.03482488,0.006485255,0.1005483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04133767,"threshold_uncertainty_score":0.1282804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008501356371943021,"score_gpt":0.2501634835565174,"score_spread":0.2416621271845743,"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."}}