{"id":"W2807410225","doi":"","title":"HITS at TAC KBP 2015: Entity discovery and linking, and event nugget detection","year":2015,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Event (particle physics); Computer science; Physics","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":[0.007739975,0.00295807,0.001908659,0.01000914,0.003065549,0.004777387,0.003540308,0.003849967,0.01171863],"category_scores_gemma":[0.03476074,0.001137886,0.001523479,0.007563767,0.0009916646,0.006973781,0.004875704,0.003931986,0.009979452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002040169,"about_ca_system_score_gemma":0.004069784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0528125,"about_ca_topic_score_gemma":0.07906974,"domain_scores_codex":[0.9887806,0.003051145,0.0009439873,0.001928026,0.0046179,0.0006783191],"domain_scores_gemma":[0.9855805,0.006028445,0.0005929455,0.003226012,0.003588313,0.0009837816],"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":[0.001759899,0.0006736382,0.01007631,0.001624005,0.0005446982,0.00118314,0.001423709,0.01648292,0.006044409,0.008720176,0.7908676,0.1605995],"study_design_scores_gemma":[0.001203938,0.0006103755,0.03251888,0.0005102184,0.0007413651,0.001957501,0.002683417,0.4449214,0.03370876,0.03883477,0.4418263,0.0004830701],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1941257,0.007797595,0.2150253,0.006984843,0.005821949,0.001711978,0.3935547,0.1441776,0.03080025],"genre_scores_gemma":[0.2292082,0.0009805298,0.1914802,0.0007181321,0.000740123,0.0009933813,0.5528982,0.004361602,0.01861975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0528125,"threshold_uncertainty_score":0.1050102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126631513473409,"score_gpt":0.2500608777063872,"score_spread":0.2387945625716531,"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."}}