{"id":"W4393186008","doi":"10.1109/icpads60453.2023.00088","title":"ESIREOS: Efficient, Scalable, Internal, Relative Evaluation of Outliers Solutions","year":2023,"lang":"en","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Scalability; Outlier; Artificial intelligence; Database","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":[0.00443554,0.003057029,0.00263317,0.003418158,0.0007099085,0.0021969,0.003943421,0.001655571,0.00365701],"category_scores_gemma":[0.01683189,0.0006501875,0.001345996,0.002151481,0.0008766489,0.003382793,0.003981818,0.001803596,0.001605733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001183752,"about_ca_system_score_gemma":0.002798556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003513283,"about_ca_topic_score_gemma":0.004993475,"domain_scores_codex":[0.995269,0.001029975,0.0003994378,0.0006934033,0.00223107,0.0003769663],"domain_scores_gemma":[0.9942477,0.002009684,0.0007087385,0.001011141,0.001731971,0.00029074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009318627,0.0006726049,0.006038134,0.0006007791,0.0003105415,0.000257923,0.0002172766,0.3515734,0.01432713,0.01099108,0.02317966,0.5908995],"study_design_scores_gemma":[0.00006851978,0.0001375921,0.0005697498,0.00002406746,0.00002007765,0.00006273725,0.00005907642,0.988913,0.004564467,0.003646458,0.00191168,0.00002252432],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04198762,0.0008103969,0.9290684,0.0003299222,0.0002455007,0.0004343274,0.0007452909,0.02275499,0.003623543],"genre_scores_gemma":[0.2650993,0.0003563279,0.7275252,0.0002284022,0.0001197169,0.0004958754,0.002887749,0.001203914,0.002083562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00443554,"threshold_uncertainty_score":0.02345765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06647029475240107,"score_gpt":0.321297569526232,"score_spread":0.2548272747738309,"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."}}