{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004993238,0.001212269,0.001305474,0.003017774,0.001526547,0.002145777,0.002348395,0.001712503,0.01608059],"category_scores_gemma":[0.01469668,0.0006953156,0.0004996308,0.001617188,0.0005610264,0.004493872,0.003376629,0.001535474,0.01668761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001462437,"about_ca_system_score_gemma":0.002270543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01857271,"about_ca_topic_score_gemma":0.02020876,"domain_scores_codex":[0.9962288,0.001350943,0.0002673465,0.0009036143,0.0009649303,0.0002844312],"domain_scores_gemma":[0.9954641,0.001414547,0.0001456428,0.001011624,0.001504965,0.0004590988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002525716,0.0003242344,0.006454846,0.001120047,0.0002979354,0.0006487326,0.001523902,0.006115405,0.02127411,0.005337294,0.725852,0.2285257],"study_design_scores_gemma":[0.001046999,0.0006743804,0.01734745,0.0002904316,0.0002892757,0.0008512663,0.001388609,0.2249874,0.09266529,0.01882482,0.6412917,0.0003422925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.1099693,0.004450824,0.3123176,0.003581611,0.003635228,0.001430172,0.1993126,0.3220966,0.04320621],"genre_scores_gemma":[0.339636,0.0006347066,0.2633635,0.0008228171,0.000431105,0.00086832,0.3581426,0.008194186,0.02790675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01857271,"threshold_uncertainty_score":0.05379492,"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."}}