{"id":"W2604228733","doi":"","title":"Event Nugget Detection Task: UMBC systems","year":2016,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Event (particle physics); Computer science; Task (project management); Sentence; Measure (data warehouse); Convolution (computer science); Word (group theory); Artificial intelligence; Convolutional neural network; Artificial neural network; Real-time computing; Pattern recognition (psychology); Data mining; Mathematics; Engineering","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":[0.0003766072,0.00005454239,0.00007828327,0.00004021204,0.00008778919,0.00002549509,0.0002363798,0.00002825796,0.000002875068],"category_scores_gemma":[0.00001555499,0.0000375329,0.00001678836,0.00009889371,0.00007701416,0.000184068,0.00006743601,0.0000240538,0.00001024294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001021164,"about_ca_system_score_gemma":0.00001587454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001149698,"about_ca_topic_score_gemma":0.000001378589,"domain_scores_codex":[0.9994891,0.00005272817,0.000145421,0.0001576503,0.00007437824,0.00008076103],"domain_scores_gemma":[0.9993313,0.0001389902,0.00007067086,0.0003757215,0.00005317761,0.00003013731],"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":[0.000003210758,0.000007998368,0.00002158937,0.0000124782,0.000004242278,4.46188e-8,0.0001334071,0.00002025464,0.007618251,0.8719602,0.00000531959,0.120213],"study_design_scores_gemma":[0.0001916894,0.00003566876,0.0002121083,0.00002201048,0.00001042593,0.00001462707,0.0002347457,0.001375978,0.04047894,0.9426728,0.01461276,0.0001382839],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01824406,0.0003964111,0.9801937,0.0001485845,0.00006140753,0.0001542055,0.000002598579,0.00006689253,0.0007321759],"genre_scores_gemma":[0.9985868,0.00003912892,0.0006954073,0.00001081994,0.00005631135,0.0001319496,4.029302e-7,0.000003035726,0.0004761825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9803427,"threshold_uncertainty_score":0.1530547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007871750298804013,"score_gpt":0.230625804219854,"score_spread":0.22275405392105,"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."}}