{"id":"W3111373706","doi":"10.3390/e23121690","title":"Perfect Density Models Cannot Guarantee Anomaly Detection","year":2021,"lang":"en","type":"article","venue":"Entropy","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Google (Canada)","funders":"","keywords":"Curse of dimensionality; Anomaly detection; Anomaly (physics); Computer science; Generative grammar; Estimation; Econometrics; Artificial intelligence; Machine learning; Mathematics; Economics; Physics","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":[0.00008616071,0.0000965922,0.0001056125,0.00005044117,0.0002231482,0.0001066869,0.0002579624,0.00005638145,0.00002684171],"category_scores_gemma":[0.00001180014,0.00009917151,0.00008862608,0.0003863725,0.00002073632,0.0002869777,0.0001252114,0.0001223276,0.00006936496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006760102,"about_ca_system_score_gemma":0.00005732165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001077341,"about_ca_topic_score_gemma":0.00006494219,"domain_scores_codex":[0.99913,0.00004716176,0.0001410501,0.000349601,0.0001465431,0.0001856292],"domain_scores_gemma":[0.9992389,0.00002002273,0.00005161342,0.0005178147,0.0001244716,0.00004714051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001323606,0.000192015,0.0004206156,0.00001271602,0.00004215685,0.00007539482,0.0003745448,0.0009226902,0.2755637,0.6178942,0.00167543,0.1028132],"study_design_scores_gemma":[0.0001888733,0.00006704054,0.001600379,0.000005746722,0.000009716999,0.0001514204,0.0000208007,0.2694017,0.6840423,0.03479069,0.009505933,0.0002154494],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1491363,0.00007832229,0.8485527,0.0004820487,0.0001280593,0.00008585583,0.000001424433,0.000358301,0.001176984],"genre_scores_gemma":[0.9748753,0.0000383734,0.02405366,0.0002587646,0.00007721935,0.00003599489,0.000001628855,0.000007320463,0.0006516771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8257391,"threshold_uncertainty_score":0.4044097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01136590351285806,"score_gpt":0.2198622044042446,"score_spread":0.2084963008913865,"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."}}