{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002070087,0.000132311,0.0001342027,0.000070007,0.0002829415,0.0003518525,0.0005408273,0.00007847339,0.0001410035],"category_scores_gemma":[0.000225508,0.0001338753,0.00007614413,0.000342512,0.00007248115,0.0003586011,0.00006846457,0.0002232544,0.0001916636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003901788,"about_ca_system_score_gemma":0.0002679172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000838351,"about_ca_topic_score_gemma":0.000009462474,"domain_scores_codex":[0.9986837,0.00003799152,0.0003141275,0.0004181944,0.0003466089,0.0001993629],"domain_scores_gemma":[0.9988546,0.0001900123,0.0001183827,0.000122756,0.0006085719,0.0001056575],"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":[0.00001868525,0.00002644699,0.000007240275,0.000003566591,0.00000462667,3.190213e-7,0.0001990951,0.001285968,0.003260096,0.9405762,0.0005594362,0.05405831],"study_design_scores_gemma":[0.00002430173,0.000278805,0.00007698972,0.000005541066,0.00000230666,8.408826e-7,0.0004833728,0.5454111,0.03008191,0.4071272,0.01632517,0.0001824241],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008083271,0.000005056265,0.9817786,0.006749775,0.00005463383,0.0002832391,0.00001412105,0.0003285565,0.00997774],"genre_scores_gemma":[0.9860471,0.000006452226,0.01204721,0.00148234,0.0001552716,0.0001305447,0.00001361243,0.000008091204,0.0001093471],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9852388,"threshold_uncertainty_score":0.5459278,"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."}}