{"id":"W3160297038","doi":"10.1109/icassp39728.2021.9413754","title":"Unified Clustering and Outlier Detection on Specialized Hardware","year":2021,"lang":"en","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cluster analysis; Computer science; Anomaly detection; Outlier; Data mining; Quadratic unconstrained binary optimization; Machine learning; Artificial intelligence","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":[0.0007092279,0.0008910606,0.000745529,0.0005576111,0.0006027338,0.001049555,0.001683623,0.0008985119,0.002864259],"category_scores_gemma":[0.002597586,0.0003944393,0.0006905181,0.001047189,0.0007507298,0.001924328,0.001051441,0.001220755,0.000658309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001081885,"about_ca_system_score_gemma":0.001408332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002937685,"about_ca_topic_score_gemma":0.008565013,"domain_scores_codex":[0.9991561,0.0001632092,0.00004824824,0.0002012248,0.0003139611,0.0001172482],"domain_scores_gemma":[0.9989797,0.0003332769,0.000139347,0.0002568614,0.0002484698,0.00004228877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002670846,0.0001301424,0.001601782,0.0002239043,0.00007681494,0.0002231503,0.0001099287,0.689001,0.03500235,0.03549016,0.004984591,0.2328892],"study_design_scores_gemma":[0.00001183279,0.00006476365,0.0002893909,0.000006193445,0.000008465808,0.00005169966,0.00002990943,0.9846568,0.007235174,0.005624094,0.002011119,0.00001054019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02184744,0.0001534283,0.9739265,0.0002210544,0.0000442385,0.00006162319,0.00004567801,0.001122978,0.002577103],"genre_scores_gemma":[0.4194223,0.000215402,0.5755611,0.0001760194,0.00004551469,0.000188074,0.0001822563,0.0001726883,0.00403666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002937685,"threshold_uncertainty_score":0.009581923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01904390494328317,"score_gpt":0.2510750385282856,"score_spread":0.2320311335850024,"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."}}