{"id":"W2038722061","doi":"10.1177/155005940904000315","title":"Resolution of EEG Artifact during Continuous Renal Replacement Therapy: Case Report","year":2009,"lang":"en","type":"article","venue":"Clinical EEG and Neuroscience","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Grand River Hospital","funders":"","keywords":"Artifact (error); Electroencephalography; Renal replacement therapy; Tracing; Medicine; Computer science; Neuroscience; Artificial intelligence; Psychology; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.001037222,0.0001780171,0.0003334506,0.00007838836,0.0002871736,0.00009118828,0.0002979316,0.00007966875,0.00001144904],"category_scores_gemma":[0.002058449,0.0001405679,0.0001171475,0.0003034245,0.0006207601,0.0002537437,0.0001220544,0.0003022387,0.000003748421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001078836,"about_ca_system_score_gemma":0.00004710074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009657413,"about_ca_topic_score_gemma":0.000001631723,"domain_scores_codex":[0.9971078,0.0002697004,0.0009179494,0.0009720502,0.0003631129,0.0003693536],"domain_scores_gemma":[0.9983566,0.0004610294,0.0004062949,0.0005233546,0.00004896777,0.0002037827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003483019,0.0004084477,0.00214753,0.000009182399,0.000001397243,0.008792034,0.0001218015,0.00007737087,0.9732234,0.00019556,0.000282405,0.01439256],"study_design_scores_gemma":[0.002165743,0.004568642,0.1306509,0.0001163892,0.00001492948,0.03706854,0.00004485533,0.006270884,0.81187,0.000590501,0.006146852,0.0004916913],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971483,0.00006468752,0.0003883518,0.0007805051,0.0006593698,0.000226472,0.000005314673,0.00008373665,0.0006432385],"genre_scores_gemma":[0.9970781,0.0002149171,0.0001427662,0.001846786,0.00006214129,0.000003187897,3.103194e-7,0.000007452934,0.0006443505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1613534,"threshold_uncertainty_score":0.5732194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08158733698041262,"score_gpt":0.3683333510397369,"score_spread":0.2867460140593243,"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."}}