{"id":"W2805547232","doi":"","title":"WIP Event Detection System at TAC KBP 2016 Event Nugget Track.","year":2016,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Event (particle physics); Computer science; Real-time computing; Operating system; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001805139,0.0009736175,0.001027251,0.003686513,0.0008749802,0.001712519,0.00166118,0.0009637846,0.01655704],"category_scores_gemma":[0.007104295,0.0004618743,0.0003318024,0.002133618,0.0001875965,0.003014912,0.00141486,0.001245573,0.01718462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000664762,"about_ca_system_score_gemma":0.001456396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01217327,"about_ca_topic_score_gemma":0.0128849,"domain_scores_codex":[0.9987338,0.0001485858,0.0001085063,0.0003435271,0.0005582585,0.0001073494],"domain_scores_gemma":[0.9973096,0.0005105834,0.0002147143,0.0004497436,0.001275276,0.000240063],"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":[0.001463293,0.0002276643,0.01195475,0.0009527626,0.0001784723,0.0004436952,0.0005381944,0.004760416,0.01383118,0.002242412,0.7187768,0.2446303],"study_design_scores_gemma":[0.000554903,0.0005507239,0.03041633,0.0002423226,0.0002779943,0.0005292912,0.001081626,0.2797695,0.05314277,0.01243355,0.6207959,0.0002050431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.07158066,0.002060401,0.2633499,0.001768051,0.001290797,0.001486934,0.2570061,0.3507034,0.0507538],"genre_scores_gemma":[0.2718364,0.00075281,0.1687491,0.0006157125,0.0003948844,0.001277923,0.513911,0.006520464,0.03594178],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01655704,"threshold_uncertainty_score":0.05538881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007172369900705897,"score_gpt":0.2281875531371292,"score_spread":0.2210151832364233,"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."}}