{"id":"W3142029566","doi":"10.2139/ssrn.3581603","title":"Is There Anybody Out There? Detecting Operational Outages from LVTS Transaction Data","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Government of Canada","funders":"","keywords":"Database transaction; Transaction data; Computer science; Business; Database; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006640413,0.0001562616,0.0002615503,0.00007199644,0.0003694152,0.0001660652,0.0004789719,0.0001090284,0.0005499572],"category_scores_gemma":[0.0001124101,0.0001656496,0.0001156111,0.0001440389,0.00002254103,0.0005873734,0.00004151329,0.001068737,0.0003202068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002584284,"about_ca_system_score_gemma":0.0003718059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003433276,"about_ca_topic_score_gemma":0.00123138,"domain_scores_codex":[0.9981698,0.00002213356,0.0005071092,0.0004108625,0.00007936954,0.0008107326],"domain_scores_gemma":[0.9992674,0.00004324168,0.0002725248,0.0002858045,0.00003555414,0.00009545338],"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":[0.0003282707,0.0003424964,0.381422,0.00002691642,0.001652425,0.0000185443,0.01050402,0.001407371,0.00160053,0.4225445,0.002683895,0.177469],"study_design_scores_gemma":[0.003072926,0.0005889779,0.188543,0.00004365708,0.0001264582,0.00007016666,0.00368359,0.05491633,0.000504825,0.5600165,0.1872246,0.001208999],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6437486,0.01598881,0.3270921,0.009705439,0.0006102582,0.0001685836,0.0006289827,0.00005513048,0.002002083],"genre_scores_gemma":[0.9942365,0.003416179,0.0002927119,0.000175164,0.001335072,0.000003302716,0.00006988128,0.00003109685,0.0004401084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3504879,"threshold_uncertainty_score":0.6754994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05834592724319394,"score_gpt":0.2570937329798832,"score_spread":0.1987478057366893,"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."}}