{"id":"W2805550868","doi":"","title":"New York University 2016 System for KBP Event Nugget: A Deep Learning Approach.","year":2016,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Event (particle physics); Computer science; Artificial intelligence; History; 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":[0.0003502404,0.00006507109,0.0001017935,0.00004333366,0.0001652841,0.00001742755,0.0003566941,0.00003400975,0.000002383557],"category_scores_gemma":[0.00001135265,0.00004862326,0.00003238704,0.0001039362,0.00005881197,0.0001477439,0.00008512236,0.00003008883,0.000004229568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000216356,"about_ca_system_score_gemma":0.00004893865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001292418,"about_ca_topic_score_gemma":7.947361e-7,"domain_scores_codex":[0.9994757,0.0000545841,0.0001078444,0.000199061,0.00005919468,0.0001036864],"domain_scores_gemma":[0.99932,0.0002038522,0.0000865474,0.0002920369,0.00004606007,0.00005149015],"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":[0.00001314679,0.000006804305,0.00001708729,0.00003222525,0.000008100258,3.7118e-8,0.0004425759,0.00008914612,0.0002540071,0.8630573,0.00002265472,0.1360569],"study_design_scores_gemma":[0.00162318,0.0001306448,0.000148932,0.0001187856,0.00008208331,0.00002056058,0.0065741,0.01328747,0.009345668,0.8481953,0.1199485,0.0005247428],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001073396,0.000388175,0.9962726,0.0001232022,0.00002189013,0.0002382739,0.000002437087,0.00009277656,0.001787264],"genre_scores_gemma":[0.9595617,0.00001954555,0.03722895,0.000005063477,0.0000569012,0.00002564339,0.000001366216,0.00000438358,0.003096452],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9590436,"threshold_uncertainty_score":0.1982799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151717209770329,"score_gpt":0.2096102176407464,"score_spread":0.1980930455430431,"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."}}