{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004585478,0.002565446,0.001608043,0.003117178,0.002167569,0.002664,0.002630548,0.003086129,0.008193732],"category_scores_gemma":[0.0190156,0.0006421133,0.0007179935,0.003619122,0.0003911876,0.004228416,0.003203898,0.002448855,0.008925368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002275388,"about_ca_system_score_gemma":0.001746484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03156056,"about_ca_topic_score_gemma":0.03245629,"domain_scores_codex":[0.9953923,0.001089131,0.0003903218,0.001188667,0.001415644,0.0005239469],"domain_scores_gemma":[0.9918883,0.002864286,0.000406411,0.001776737,0.002433062,0.0006311202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003131147,0.00108402,0.01619934,0.001332263,0.0003382115,0.001380946,0.001461976,0.01682874,0.04086801,0.003647362,0.3731688,0.5405592],"study_design_scores_gemma":[0.0004832504,0.0007393345,0.03332209,0.0002080193,0.0002030361,0.001340337,0.001529592,0.6867938,0.08120308,0.01217537,0.1817025,0.0002996962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4690732,0.005346388,0.2034628,0.004304354,0.00237619,0.002756673,0.07055549,0.2090573,0.03306761],"genre_scores_gemma":[0.6209551,0.0005581924,0.225426,0.001269585,0.00040904,0.00116845,0.1307341,0.003542112,0.01593731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03156056,"threshold_uncertainty_score":0.06275374,"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."}}