{"id":"W2185266341","doi":"","title":"THUNLP at TAC KBP 2011 in Entity Linking","year":2011,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Entity linking; Ranking (information retrieval); Pairwise comparison; Task (project management); Information retrieval; String (physics); Context (archaeology); Knowledge base; Similarity (geometry); Key (lock); Rank (graph theory); Artificial intelligence; Natural language processing; Data mining; Image (mathematics); Mathematics","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":[0.004042968,0.00007008626,0.0001522735,0.0001392635,0.0001335237,0.00003651365,0.0004901862,0.00003670682,0.0007599107],"category_scores_gemma":[0.0001359586,0.00005547357,0.00002961497,0.0002542075,0.0003381952,0.0002820049,0.0003397148,0.00005409759,0.0002148479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000844352,"about_ca_system_score_gemma":0.00001320493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009693509,"about_ca_topic_score_gemma":0.0001689402,"domain_scores_codex":[0.998875,0.0001791575,0.0003630971,0.0002383458,0.0002346939,0.0001097243],"domain_scores_gemma":[0.9986854,0.0004958123,0.0001517321,0.0005598739,0.00007009652,0.00003704264],"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":[0.0000429905,0.0000601404,0.003369197,0.0000115647,0.000005696255,2.594605e-7,0.001816588,8.477488e-7,0.00008082898,0.961473,0.0003628685,0.03277598],"study_design_scores_gemma":[0.00009701362,0.00001673022,0.01146937,0.000003497638,0.000008810865,6.626801e-7,0.002383144,0.000003469994,0.002786127,0.9406883,0.04247558,0.00006730218],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6257139,0.001178758,0.1910994,0.000452668,0.0001660005,0.0009321249,0.0001195668,0.00008020768,0.1802573],"genre_scores_gemma":[0.9958586,0.0001025866,0.0004550476,0.0000821219,0.00002012098,0.00006955887,0.00001412366,0.00000341011,0.003394409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3701447,"threshold_uncertainty_score":0.832049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09715954466342638,"score_gpt":0.3532432388839121,"score_spread":0.2560836942204857,"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."}}