{"id":"W7055547716","doi":"","title":"Classification of high-dimensional mislabelled data and online algorithms for high-dimensional streaming data","year":2023,"lang":"en","type":"dissertation","venue":"White Rose eTheses Online (University of Leeds, The University of Sheffield, University of York)","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Resampling; Naive Bayes classifier; Boosting (machine learning); Classifier (UML); Big data; Raw data; Random forest; Probabilistic classification","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"],"consensus_categories":[],"category_scores_codex":[0.0003677995,0.0003471499,0.000844135,0.0004098805,0.0003856752,0.000008158542,0.002199876,0.0005117102,0.0001022652],"category_scores_gemma":[0.00005823832,0.0004348523,0.0001660642,0.0005028924,0.0005250222,0.0004565835,0.0009063929,0.0004725519,0.000002532008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007810396,"about_ca_system_score_gemma":0.0002264543,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006592227,"about_ca_topic_score_gemma":0.01893311,"domain_scores_codex":[0.9982008,0.00009325803,0.0002899823,0.000628842,0.0004894818,0.0002976349],"domain_scores_gemma":[0.9969627,0.0005423921,0.0006117743,0.001294081,0.0004648708,0.0001241312],"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":[0.01907479,0.01249167,0.01226699,0.01927477,0.02119219,0.0005355323,0.08757384,0.1857343,0.1043126,0.005407022,0.07996697,0.4521693],"study_design_scores_gemma":[0.005590322,0.0004695613,0.07033267,0.001376138,0.002873973,0.000006415421,0.1162199,0.7989768,0.0003309453,0.0002294337,0.002545788,0.001048062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835519,0.0002797398,0.002231969,0.0004788243,0.0002503982,0.0004402023,0.0126119,0.00008945958,0.00006564708],"genre_scores_gemma":[0.953065,0.001242778,0.02105918,0.000005913391,0.00005464059,1.711543e-8,0.02173991,0.00004839107,0.002784129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6132424,"threshold_uncertainty_score":0.9998103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04911985562435892,"score_gpt":0.2483522832664876,"score_spread":0.1992324276421287,"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."}}