{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004733648,0.0000675653,0.00009048006,0.00003800805,0.0001293418,0.00006911559,0.0001256894,0.00003559655,0.00000102479],"category_scores_gemma":[0.00002027947,0.00006067596,0.00001074959,0.00007700788,0.0001338091,0.0003811768,0.0002290663,0.00004642288,0.00000148324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001256164,"about_ca_system_score_gemma":0.00001939318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002288538,"about_ca_topic_score_gemma":0.00002137044,"domain_scores_codex":[0.9994681,0.00005009553,0.0001224173,0.0001965661,0.0000840977,0.00007873464],"domain_scores_gemma":[0.9994951,0.00007810218,0.00006843077,0.000250706,0.0000505108,0.00005716482],"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":[0.00001482273,0.0000181401,0.0009412181,0.00003301524,0.00000805417,1.448643e-7,0.001241374,0.00002832927,0.0009894362,0.9371451,0.00001896261,0.0595614],"study_design_scores_gemma":[0.0002672613,0.00005573146,0.001716447,0.00001217297,0.00001928182,0.00002175284,0.0003020237,0.002548132,0.01602888,0.9735438,0.005337438,0.0001471097],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3356594,0.0009751943,0.6628326,0.0001226378,0.00003190852,0.0001066018,0.000002627691,0.00002587019,0.0002432577],"genre_scores_gemma":[0.9978207,0.0001129857,0.001521906,0.00002313478,0.00004283561,0.00004102209,0.000002540091,0.00000316316,0.0004317209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6621614,"threshold_uncertainty_score":0.2474294,"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."}}