{"id":"W2806206036","doi":"","title":"UTD’s Event Nugget Detection and Coreference System at KBP 2015.","year":2015,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Coreference; Computer science; Event (particle physics); Natural language processing; Artificial intelligence; Resolution (logic); Physics; Astrophysics","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":[0.0004669752,0.0000654079,0.00009552798,0.00003708575,0.0001083983,0.00002984888,0.000188143,0.00003327035,0.00000107029],"category_scores_gemma":[0.00001400208,0.0000572233,0.00001044071,0.00009375883,0.000095518,0.0001520363,0.0001568285,0.0000391237,0.000006774801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002437338,"about_ca_system_score_gemma":0.0000245543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002105737,"about_ca_topic_score_gemma":0.000009051366,"domain_scores_codex":[0.999454,0.00005426456,0.0001395773,0.0001810268,0.00009175086,0.00007942549],"domain_scores_gemma":[0.999376,0.00007480134,0.00007549822,0.0003259262,0.00008146337,0.00006628608],"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":[0.00001122415,0.000007358828,0.000090644,0.00003207094,0.000004209128,1.128303e-7,0.0006638643,0.00003733955,0.0004818781,0.9725296,0.00001652756,0.02612518],"study_design_scores_gemma":[0.0005726745,0.0001333162,0.001067178,0.00003796802,0.00003761221,0.0001023899,0.002698815,0.02433965,0.0295542,0.9300615,0.01105413,0.0003405467],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09748384,0.0007816223,0.8999072,0.00008117209,0.00004599393,0.0001589422,0.000002431876,0.00007091614,0.001467919],"genre_scores_gemma":[0.9978511,0.00002290201,0.001722251,0.00001215044,0.0000316368,0.00007999999,0.000001375483,0.000002984755,0.0002755949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9003673,"threshold_uncertainty_score":0.2333498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0184722101040495,"score_gpt":0.2522096874338165,"score_spread":0.233737477329767,"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."}}