{"id":"W2188227831","doi":"","title":"BUPTTeam Participation at TAC 2013 Entity Linking","year":2013,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Entity linking; Computer science; Task (project management); Cluster analysis; Named-entity recognition; Named entity; Information retrieval; Natural language processing; Artificial intelligence; Knowledge base","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":[0.0003464022,0.00006385122,0.0001008595,0.00005446828,0.0001980714,0.00008004729,0.0002962161,0.00002880907,0.00005689805],"category_scores_gemma":[0.0000195136,0.00005562761,0.00002574965,0.0002235049,0.0001245146,0.0004321021,0.0001758203,0.00003963475,0.00009756003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006877549,"about_ca_system_score_gemma":0.00001189662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006400108,"about_ca_topic_score_gemma":0.00000917742,"domain_scores_codex":[0.9994186,0.00005957262,0.0001593373,0.0001729087,0.00008609446,0.0001035444],"domain_scores_gemma":[0.9992303,0.0001276438,0.00009510934,0.0004209801,0.00008144686,0.00004458164],"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":[0.000001823752,0.000033464,0.001388609,0.00001657028,0.00001711651,4.608757e-8,0.0006670137,0.00002188216,0.001878524,0.946589,0.0004280138,0.04895794],"study_design_scores_gemma":[0.0002001945,0.00004519828,0.01058956,0.00001717743,0.00007257576,0.000003577917,0.000563604,0.00484509,0.02701129,0.935658,0.02070521,0.000288464],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2783047,0.0003257746,0.7189612,0.0005938099,0.00002222976,0.0001525132,0.000005873445,0.00007620166,0.001557744],"genre_scores_gemma":[0.996242,0.00005428294,0.002678168,0.00004617271,0.0000355493,0.0001546064,0.00002404923,0.000002959316,0.0007622443],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7179373,"threshold_uncertainty_score":0.2268428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011915011603889,"score_gpt":0.249709584571197,"score_spread":0.2395904344551582,"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."}}