{"id":"W3012962091","doi":"","title":"Simple Continual Learning Strategies for Safer Classifers.","year":2020,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"SAFER; Simple (philosophy); Computer science; Risk analysis (engineering); Computer security; Business","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":[0.003387173,0.0009801026,0.0008730387,0.001366089,0.001297867,0.001728888,0.003529058,0.001701019,0.01380154],"category_scores_gemma":[0.0152913,0.0005111475,0.0004990227,0.0006372043,0.001553331,0.005189555,0.003118603,0.002445517,0.002974932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007677337,"about_ca_system_score_gemma":0.001147898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001540372,"about_ca_topic_score_gemma":0.002767968,"domain_scores_codex":[0.9984263,0.0003657636,0.0001250204,0.0003765704,0.000534796,0.0001716793],"domain_scores_gemma":[0.993983,0.002478857,0.0004157382,0.001395779,0.001355758,0.0003708203],"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":[0.0006012556,0.0005189399,0.003339509,0.0001692525,0.0000677987,0.0001651401,0.0003858861,0.06960434,0.009097721,0.07575268,0.01171009,0.8285874],"study_design_scores_gemma":[0.00006193389,0.0002383572,0.0005397113,0.0000484586,0.00003139112,0.0002214998,0.0001379223,0.8872417,0.006391207,0.09907129,0.005981551,0.00003502974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0444159,0.0005605681,0.9427238,0.0009535078,0.0002864636,0.0001957063,0.00009152889,0.002561634,0.008210992],"genre_scores_gemma":[0.6239777,0.0002654165,0.3582229,0.0003990127,0.0002363249,0.0002052052,0.0002510951,0.0003394081,0.01610283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01380154,"threshold_uncertainty_score":0.04617077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1673988167164265,"score_gpt":0.3643801908165334,"score_spread":0.1969813741001069,"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."}}