{"id":"W3141284673","doi":"10.1109/iembs.2006.4397565","title":"A Comparison of Adaptive and Non-Adaptive EEG Source Localization Algorithms Using a Realistic Head Model","year":2006,"lang":"en","type":"article","venue":"Conference proceedings","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Electroencephalography; Computer science; Head (geology); Artificial intelligence; Algorithm; Speech recognition; Pattern recognition (psychology); Psychology; Neuroscience","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":[0.001293048,0.0004599263,0.0002603986,0.0004510713,0.000144111,0.0004174075,0.0008931716,0.000517999,0.001318965],"category_scores_gemma":[0.007343414,0.000222014,0.0003590897,0.0004902504,0.0003089486,0.0008482101,0.0003879807,0.000439507,0.0003557844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002919924,"about_ca_system_score_gemma":0.0007492597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003016392,"about_ca_topic_score_gemma":0.003353119,"domain_scores_codex":[0.9997067,0.00009617797,0.00002943976,0.00005428513,0.00009238176,0.00002105312],"domain_scores_gemma":[0.9975644,0.001579205,0.0001110239,0.0002511629,0.0004561125,0.00003809456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006795011,0.0001983371,0.002876512,0.0003046464,0.0001488681,0.0001310084,0.0001540511,0.6542622,0.02613457,0.006159752,0.001032839,0.3079177],"study_design_scores_gemma":[0.0000522421,0.0001717547,0.001408793,0.00001555394,0.00002779711,0.00009535153,0.0000361631,0.9862671,0.00939229,0.001513857,0.0009991196,0.00001999024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08066074,0.0002606421,0.9166825,0.0001747295,0.00003567276,0.0001015558,0.00006429559,0.0005907947,0.001429032],"genre_scores_gemma":[0.5100668,0.0006099456,0.4871427,0.00007055386,0.00001484607,0.0001932731,0.0002767078,0.0001648945,0.001460196],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003016392,"threshold_uncertainty_score":0.006838381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09991312963209042,"score_gpt":0.3284124789473113,"score_spread":0.2284993493152209,"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."}}