{"id":"W2947705258","doi":"10.48550/arxiv.1905.13147","title":"Anomaly Detection in Images","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Anomaly detection; Anomaly (physics); Geology; Computer vision; Artificial intelligence; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007670445,0.001123038,0.001040942,0.004760354,0.0003362401,0.001779924,0.0009785048,0.001512763,0.002923782],"category_scores_gemma":[0.003779673,0.0003752241,0.0007783169,0.002702672,0.0007646315,0.002453757,0.00156362,0.001270787,0.002835833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006754092,"about_ca_system_score_gemma":0.000572384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002131711,"about_ca_topic_score_gemma":0.002027063,"domain_scores_codex":[0.9985358,0.0001350812,0.0000725779,0.0004650642,0.000610316,0.0001812283],"domain_scores_gemma":[0.9987561,0.0002470554,0.0002160479,0.0002802942,0.000429886,0.00007058518],"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":[0.0005959346,0.0001689016,0.006374326,0.000691595,0.0001982515,0.0005933283,0.0001757036,0.01795442,0.1035474,0.006843282,0.0270441,0.8358129],"study_design_scores_gemma":[0.0000525507,0.0004950658,0.03761495,0.0003324802,0.0001892434,0.004895256,0.0005572715,0.6291002,0.179383,0.05740176,0.08983599,0.0001422233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09193464,0.005528932,0.8716259,0.001200162,0.0006071486,0.0003729672,0.005197104,0.01413388,0.009399313],"genre_scores_gemma":[0.4967419,0.004049879,0.4817084,0.0006931157,0.0005871927,0.0002204458,0.00845924,0.0007504041,0.006789459],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004760354,"threshold_uncertainty_score":0.009781063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04017590732217693,"score_gpt":0.1820082039358111,"score_spread":0.1418322966136341,"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."}}