{"id":"W3037846902","doi":"10.48550/arxiv.2006.14584","title":"The Effect of Optimization Methods on the Robustness of Out-of-Distribution Detection Approaches","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Robustness (evolution); Computer science; Biological system; Mathematics; Chemistry; Biology","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":[0.001682183,0.0002327101,0.000387498,0.00008447204,0.0002053514,0.00003282513,0.001660684,0.000213347,0.000002770566],"category_scores_gemma":[0.0007154679,0.0001657494,0.0002447793,0.0006872416,0.000245717,0.0001409932,0.001209112,0.0006439129,8.712151e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000111355,"about_ca_system_score_gemma":0.00007272318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000315477,"about_ca_topic_score_gemma":0.000003728161,"domain_scores_codex":[0.9970204,0.001823613,0.0003025262,0.0005366898,0.0001525573,0.0001642604],"domain_scores_gemma":[0.9961273,0.001795261,0.0009357969,0.0009510911,0.0001500692,0.00004049126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001283218,0.00001605905,0.0001174422,0.0001256245,0.0000885191,0.000001468252,0.0001294384,0.9628752,0.00006184728,0.03042806,0.000005405275,0.006022581],"study_design_scores_gemma":[0.0002374721,0.0001958397,0.0001119874,0.00007656006,0.0001070524,5.9691e-7,0.00006469826,0.9860496,0.01156239,0.001450578,0.00001195171,0.0001312712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02519336,0.00002460095,0.9731733,0.0001389396,0.0007544256,0.0004428081,0.000005801422,0.00006054354,0.0002062052],"genre_scores_gemma":[0.9875249,0.00002374232,0.0123512,0.000002349778,0.00004838708,0.00000209111,0.0000126749,0.00001207822,0.00002256899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9623315,"threshold_uncertainty_score":0.6759064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1088858105848536,"score_gpt":0.2395518197388225,"score_spread":0.1306660091539688,"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."}}