{"id":"W4404835225","doi":"10.1016/j.procs.2024.09.228","title":"Enhanced balancing with integrated resampling cascade and advanced analysis of ‘seizureDetect’ dataset key features","year":2024,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Champlain Regional College","funders":"","keywords":"Computer science; Cascade; Key (lock); Resampling; Data mining; Computer architecture; Artificial intelligence; 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":[0.001343499,0.0006046327,0.0005707651,0.001439473,0.0003915346,0.0005866264,0.000538656,0.0003899684,0.001165098],"category_scores_gemma":[0.003673076,0.0001321352,0.0005903806,0.0008820482,0.0002087388,0.0007298232,0.0007500259,0.000458015,0.0005241797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002668651,"about_ca_system_score_gemma":0.0005658268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003231584,"about_ca_topic_score_gemma":0.005653951,"domain_scores_codex":[0.9994129,0.000102886,0.00004161228,0.0001493871,0.0002109513,0.00008221313],"domain_scores_gemma":[0.9992439,0.0001774924,0.00009116509,0.0001240615,0.0003222631,0.00004124601],"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":[0.001025356,0.0003998609,0.03547128,0.0002216208,0.0001653005,0.0005152213,0.0003677555,0.06858394,0.1176988,0.003526709,0.01065579,0.7613684],"study_design_scores_gemma":[0.00003137662,0.0002889432,0.037065,0.00002588064,0.00005728318,0.00028193,0.0002016926,0.9089872,0.04154881,0.003896789,0.007561298,0.00005385359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2617296,0.0004181558,0.729072,0.0002652779,0.0001478716,0.0002845424,0.00166165,0.003807619,0.002613385],"genre_scores_gemma":[0.6892637,0.0001571307,0.3020429,0.0001114969,0.0001008547,0.0002643563,0.005829338,0.0002351263,0.001995153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003231584,"threshold_uncertainty_score":0.007105231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01384780165587249,"score_gpt":0.2790528820661941,"score_spread":0.2652050804103215,"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."}}