{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001441524,0.0001881202,0.0001972539,0.0003500745,0.00007629469,0.00008844868,0.001091472,0.0002473111,0.0000155917],"category_scores_gemma":[0.000007701747,0.0002324883,0.0001327535,0.0006739896,0.00004212985,0.000302818,0.001026301,0.0004733215,0.0001484936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002109949,"about_ca_system_score_gemma":0.00008040621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003596841,"about_ca_topic_score_gemma":0.00009090397,"domain_scores_codex":[0.9986767,0.00006085624,0.0001585749,0.0008416265,0.0000492004,0.0002130981],"domain_scores_gemma":[0.9986129,0.00003595692,0.0001644214,0.001052507,0.00007284975,0.000061319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008663553,0.0007503972,0.03528194,0.0003720523,0.0001597757,0.0004437264,0.0004596766,0.3983481,0.006187346,0.4971586,0.001335355,0.05941643],"study_design_scores_gemma":[0.0004540585,0.0001063851,0.02451771,0.00007767469,0.00002792629,0.0000116074,0.00004826152,0.8779434,0.01631357,0.07673774,0.002949091,0.0008125763],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1656901,0.00002200482,0.8293244,0.000062911,0.0001877736,0.0002981237,0.000004669912,0.0003651677,0.004044865],"genre_scores_gemma":[0.9956912,0.0001051092,0.002132111,0.00004841492,0.00003128003,0.000004487681,0.000003073351,0.00001124796,0.001973061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8300011,"threshold_uncertainty_score":0.9480597,"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."}}