{"id":"W4287265169","doi":"","title":"White Paper Machine Learning in Certified Systems","year":2021,"lang":"en","type":"report","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"White (mutation); Certification; Computer science; Artificial intelligence; Chemistry; Management; Economics","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01347324,0.0005642509,0.0008615659,0.0005031844,0.000467991,0.001099224,0.002787478,0.0005399339,0.0002080541],"category_scores_gemma":[0.006358014,0.0006136121,0.0002759029,0.001439363,0.0001347944,0.0005835032,0.002182285,0.002228724,0.00005830092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005663342,"about_ca_system_score_gemma":0.001506785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006802778,"about_ca_topic_score_gemma":0.003913357,"domain_scores_codex":[0.9840118,0.01121472,0.001103102,0.001480265,0.001496893,0.0006931959],"domain_scores_gemma":[0.9904898,0.001994253,0.001018565,0.002988103,0.003283088,0.0002261503],"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":[0.00005551991,0.00280306,0.1503939,0.003708641,0.000945169,0.001397894,0.060824,0.1087058,0.00255906,0.2008606,0.01786363,0.4498827],"study_design_scores_gemma":[0.001136262,0.000001035765,0.007770348,0.006423894,0.00006498831,0.0002332925,0.0002494411,0.5434625,0.0009234687,0.0003879258,0.4377634,0.001583509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001079101,0.007868145,0.6820811,0.007150855,0.001853123,0.0005523745,0.00001644772,0.0007802899,0.2986186],"genre_scores_gemma":[0.6310962,0.004610138,0.1089247,0.0002161984,0.0002840962,0.0002230462,0.001407871,0.0003031497,0.2529346],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6300172,"threshold_uncertainty_score":0.9999377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02100149919198258,"score_gpt":0.2475724866179397,"score_spread":0.2265709874259571,"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."}}