{"id":"W2806332557","doi":"","title":"Events Detection, Coreference and Sequencing: What's next? Overview of the TAC KBP 2017 Event Track.","year":2017,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Coreference; Track (disk drive); Computer science; Event (particle physics); Artificial intelligence; Resolution (logic); Operating system","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":[0.0004655565,0.00007485713,0.0001217139,0.00002202703,0.0004064612,0.0001514905,0.0007208361,0.00003484284,0.000002449779],"category_scores_gemma":[0.00004577017,0.00005488296,0.00002778456,0.00005582024,0.0002572977,0.001016344,0.000261728,0.00006496361,8.060372e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008723342,"about_ca_system_score_gemma":0.00004740431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003681787,"about_ca_topic_score_gemma":0.00001510368,"domain_scores_codex":[0.9993913,0.00005726863,0.000181992,0.0001821194,0.0001053356,0.0000820121],"domain_scores_gemma":[0.9985807,0.00008665958,0.0002636512,0.0009506238,0.00008738891,0.00003096072],"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":[0.000004114358,0.00001095545,0.0001722048,0.0000505033,0.000007845979,4.465803e-8,0.0006230344,0.00001594217,0.001957779,0.7855167,0.000001718896,0.2116392],"study_design_scores_gemma":[0.0001438164,0.00002783762,0.01109438,0.00007530231,0.00002246264,0.00001171249,0.0007041069,0.001193421,0.03034089,0.955284,0.0009969384,0.000105152],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4024585,0.003972814,0.5920748,0.0004965896,0.0001277197,0.0004586813,0.000003229682,0.00002526872,0.0003824936],"genre_scores_gemma":[0.9978613,0.001367845,0.0005592036,0.00002721533,0.00002215045,0.00006236138,3.607652e-7,0.000002811096,0.00009677516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5954028,"threshold_uncertainty_score":0.3126212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05645302311602707,"score_gpt":0.3019632715515778,"score_spread":0.2455102484355507,"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."}}