{"id":"W2187794223","doi":"","title":"CUNY-UIUC-SRI TAC-KBP2011 Entity Linking System Description","year":2011,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Focus (optics); NIST; Similarity (geometry); Natural language processing; Track (disk drive); Artificial intelligence; Population; Translation (biology); Simple (philosophy); Entity linking; Information retrieval; Knowledge base; Image (mathematics); Operating system; Medicine; Chemistry","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":[0.000614059,0.00008495623,0.00012161,0.00006815002,0.0001725771,0.00004866604,0.0004355327,0.0000497667,0.00000808399],"category_scores_gemma":[0.000009470661,0.00007940445,0.00002900376,0.0001577929,0.0001103652,0.0004105626,0.0001404723,0.00006943377,0.0000147119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001408501,"about_ca_system_score_gemma":0.00002487657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004938277,"about_ca_topic_score_gemma":0.00000366477,"domain_scores_codex":[0.9992768,0.00006790495,0.0002135711,0.0002223872,0.00009998643,0.000119305],"domain_scores_gemma":[0.9991718,0.00005316111,0.0001154806,0.0005261707,0.00009042038,0.00004299972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005368462,0.0000203829,0.0004485299,0.00006272123,0.00000750527,2.106355e-7,0.00231589,0.000004468319,0.000500289,0.9815153,0.00000351011,0.01511581],"study_design_scores_gemma":[0.0001515888,0.00003229622,0.001120003,0.00004116328,0.00002997164,0.0000176012,0.001822346,0.002296767,0.01651502,0.976074,0.001701918,0.0001972879],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03824994,0.0003215421,0.9490258,0.00001868552,0.00008183063,0.0001796732,0.000001825769,0.0001392447,0.01198146],"genre_scores_gemma":[0.9821231,0.00002204289,0.01750627,0.00001730212,0.00005479854,0.00008136941,0.000002416724,0.000004210677,0.0001884829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9438732,"threshold_uncertainty_score":0.323802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02648358767819585,"score_gpt":0.2250944414930602,"score_spread":0.1986108538148644,"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."}}