{"id":"W4406137362","doi":"10.1109/jsait.2024.3508492","title":"JSAIT Issue on Information-Theoretic Methods for Trustworthy and Reliable Machine Learning","year":2024,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Information Theory","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Trustworthiness; Computer science; Artificial intelligence; Data science; Machine learning; Computer security","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":[0.009800497,0.001601032,0.002682921,0.003737955,0.002110222,0.007078466,0.003329142,0.007791676,0.04103198],"category_scores_gemma":[0.03618053,0.001013888,0.002588941,0.002903191,0.004797735,0.008178947,0.003768785,0.0141169,0.01281984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002667604,"about_ca_system_score_gemma":0.002541673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009252068,"about_ca_topic_score_gemma":0.0009210882,"domain_scores_codex":[0.9939476,0.001624272,0.000418128,0.0007652142,0.002962071,0.0002826253],"domain_scores_gemma":[0.973472,0.0172042,0.000733721,0.003340943,0.004306646,0.0009424236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001227865,0.0001194724,0.0002270336,0.0008104435,0.0001479292,0.0001877196,0.00009065167,0.00306966,0.0008397292,0.2625538,0.6222466,0.1095842],"study_design_scores_gemma":[0.00005527322,0.000100441,0.0006530036,0.0008824278,0.0001130416,0.0004656618,0.00004939185,0.03789781,0.001283907,0.4541419,0.5042591,0.00009809618],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002182297,0.05760207,0.3804434,0.1211911,0.340088,0.0002871933,0.001548693,0.0009760637,0.09568115],"genre_scores_gemma":[0.05396351,0.04905328,0.1194857,0.03651781,0.5617094,0.0007128917,0.002414145,0.002503174,0.1736401],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04103198,"threshold_uncertainty_score":0.1372657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007238332404877398,"score_gpt":0.2908124293006692,"score_spread":0.2835740968957918,"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."}}