{"id":"W3176888652","doi":"10.18653/v1/2021.findings-acl.186","title":"Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading","year":2021,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"Defense Advanced Research Projects Agency; National Science Foundation","keywords":"Security token; Stock (firearms); Computer science; Event study; Event (particle physics); Timestamp; Business; Computer security; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009415537,0.001699292,0.0008271632,0.004289982,0.0003997802,0.001677661,0.001474392,0.001480737,0.002512448],"category_scores_gemma":[0.003286339,0.0003767717,0.0007473439,0.00180565,0.0002479387,0.002273035,0.0009655756,0.001112847,0.002969249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004986675,"about_ca_system_score_gemma":0.0006595429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004142569,"about_ca_topic_score_gemma":0.008420058,"domain_scores_codex":[0.9992056,0.00009837386,0.00007523949,0.0002902181,0.0002495089,0.00008099416],"domain_scores_gemma":[0.9982438,0.0007049504,0.0002755466,0.0002696641,0.0003592822,0.0001467529],"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":[0.00138758,0.001894347,0.0826356,0.0008290155,0.0005482323,0.001433826,0.0002586316,0.03370703,0.03011092,0.004143825,0.07374289,0.7693081],"study_design_scores_gemma":[0.00008465595,0.0002914315,0.02103825,0.00004622256,0.0001399661,0.0007013147,0.0001691982,0.9339201,0.01983719,0.004546565,0.01915855,0.00006654925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4156567,0.007099933,0.4365614,0.002356831,0.001654711,0.001380299,0.0636475,0.05145713,0.0201856],"genre_scores_gemma":[0.6411783,0.001103674,0.2664216,0.0006256689,0.0007735969,0.0003988924,0.0784485,0.0003731624,0.01067669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004289982,"threshold_uncertainty_score":0.00840497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07405570585126024,"score_gpt":0.2656583566925179,"score_spread":0.1916026508412576,"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."}}