{"id":"W6997296388","doi":"","title":"Winnipeg Is In The Mud","year":2021,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bar (unit); Sign (mathematics); Code (set theory)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003847617,0.000714431,0.0004271436,0.0005868795,0.002523171,0.003447419,0.0007007516,0.0008332255,0.6086764],"category_scores_gemma":[0.001485728,0.0003328431,0.0002186019,0.0006983432,0.0005119811,0.001909238,0.002166922,0.001099311,0.3820804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001586756,"about_ca_system_score_gemma":0.003013024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07420088,"about_ca_topic_score_gemma":0.2495522,"domain_scores_codex":[0.9996889,0.00002623847,0.000006955718,0.00008136221,0.0001196203,0.00007702882],"domain_scores_gemma":[0.9993941,0.00003753063,0.00001450339,0.000055853,0.0001570623,0.0003410251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000063234,0.0000106165,0.0001336118,0.00003515966,0.000002220208,0.00007524213,0.00007822809,0.00007354556,0.0002113807,0.006396105,0.9551621,0.03775867],"study_design_scores_gemma":[0.000001662928,0.000001576887,0.00007304629,0.000009435784,4.644854e-7,0.000009417427,0.00002908237,0.0000296266,0.00003714664,0.0002038694,0.9996032,0.000001488267],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008664355,0.0007627814,0.001602308,0.00393909,0.001903564,0.00006538355,0.003477379,0.002152399,0.9852307],"genre_scores_gemma":[0.003559382,0.0003851692,0.0007150089,0.0006089042,0.00007618831,0.00001595945,0.001122826,0.0009445682,0.992572],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3913236,"threshold_uncertainty_score":0.5581756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00772462142676103,"score_gpt":0.2056086185769744,"score_spread":0.1978839971502133,"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."}}