{"id":"W3014626338","doi":"10.2478/jaiscr-2020-0009","title":"A New Approach to Detection of Changes in Multidimensional Patterns","year":2020,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence and Soft Computing Research","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Change detection; Computer science; Metadata; Focus (optics); Noise (video); Probabilistic logic; Variety (cybernetics); Data mining; Multivariate statistics; Kernel (algebra); The Internet; Artificial intelligence; Pattern recognition (psychology); Machine learning; Image (mathematics); Mathematics; World Wide Web","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":[0.001246059,0.0004951004,0.000947596,0.004071578,0.0004300548,0.001493081,0.001320399,0.001099025,0.001002109],"category_scores_gemma":[0.004595685,0.0003370625,0.0009129451,0.002499197,0.0008291771,0.00184214,0.001148775,0.001041595,0.0004803053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005885939,"about_ca_system_score_gemma":0.0005581463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001524599,"about_ca_topic_score_gemma":0.001015688,"domain_scores_codex":[0.9983341,0.0003001139,0.0001428382,0.0004540236,0.000638247,0.0001306759],"domain_scores_gemma":[0.9975503,0.0008759295,0.0004028751,0.0003087257,0.0007357161,0.0001263709],"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":[0.0004383661,0.0003337561,0.01573483,0.0004108665,0.0002615952,0.0006625446,0.0005367425,0.08678506,0.07258969,0.02427187,0.002225835,0.7957489],"study_design_scores_gemma":[0.00001129542,0.00008833545,0.005591986,0.00001364677,0.00002713278,0.0004324031,0.00006002221,0.9773072,0.008808301,0.00577166,0.001854705,0.00003330794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02457113,0.0002623556,0.9742151,0.0000997509,0.00003475268,0.00004451951,0.00006120698,0.0003916785,0.0003194413],"genre_scores_gemma":[0.3747769,0.0003909518,0.6231788,0.00006187025,0.00007920702,0.000084435,0.000221784,0.00006224529,0.001143782],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004071578,"threshold_uncertainty_score":0.00658989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1725412963371544,"score_gpt":0.3863464054798099,"score_spread":0.2138051091426555,"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."}}