{"id":"W2807195765","doi":"","title":"CMU CS Event TAC-KBP2016 Event Argument Extraction System.","year":2016,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Argument (complex analysis); Event (particle physics); Computer science; Extraction (chemistry); Real-time computing; Chemistry; Chromatography; 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":[0.0007084165,0.00008940804,0.0001169363,0.00005437114,0.0001248822,0.00002709308,0.0003118923,0.00003889367,0.00001204801],"category_scores_gemma":[0.00001354511,0.00006062985,0.00003435789,0.00009800844,0.00008172027,0.0002632359,0.0001009503,0.00003694944,0.00002645887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004033718,"about_ca_system_score_gemma":0.00003540593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009448275,"about_ca_topic_score_gemma":0.000001105799,"domain_scores_codex":[0.999158,0.00008915438,0.0002512091,0.000236441,0.0001403072,0.0001249365],"domain_scores_gemma":[0.999015,0.0001898888,0.0001381396,0.0005345797,0.00007077714,0.00005164707],"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":[0.000006834283,0.00002679387,0.0000213005,0.00003145672,0.000009281955,1.670901e-7,0.0004092149,0.00002057648,0.003283173,0.9123477,0.0000234818,0.08381999],"study_design_scores_gemma":[0.0004624919,0.00006810312,0.0003373027,0.0001154405,0.00003013991,0.0000381914,0.00183968,0.001050839,0.05844722,0.9145745,0.02273695,0.000299171],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01634326,0.0003809273,0.9811556,0.0005348078,0.00008597006,0.0002448828,0.000003911025,0.00009152048,0.001159065],"genre_scores_gemma":[0.996071,0.00006824676,0.002637491,0.0000168837,0.00007774767,0.000204396,0.000001106903,0.000004920626,0.0009181545],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9797278,"threshold_uncertainty_score":0.2472413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009045819101575923,"score_gpt":0.2550209852932606,"score_spread":0.2459751661916846,"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."}}