{"id":"W2944053345","doi":"10.1016/j.bspc.2019.04.021","title":"Estimating neural sources using a worst-case robust adaptive beamforming approach","year":2019,"lang":"en","type":"article","venue":"Biomedical Signal Processing and Control","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Beamforming; Adaptive beamformer; Artificial neural network; Artificial intelligence; Telecommunications","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":[0.0005660269,0.0002823684,0.0003872696,0.000166392,0.0005951896,0.0006614836,0.000416686,0.0001436051,0.00001199493],"category_scores_gemma":[0.00004327574,0.0002233311,0.00007302105,0.0005275524,0.0002026154,0.0009501596,0.0001638263,0.0003395206,0.000005652451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000417014,"about_ca_system_score_gemma":0.0001807691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003345228,"about_ca_topic_score_gemma":4.03399e-7,"domain_scores_codex":[0.997741,0.00007335703,0.0003925574,0.0006684166,0.0005030292,0.0006216339],"domain_scores_gemma":[0.9990115,0.0001323201,0.0002521175,0.0001747363,0.00009606541,0.0003332828],"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":[0.00006583049,0.0001433873,0.00101345,0.0002881872,0.00004546652,0.0003027105,0.001169206,0.007413822,0.01172068,0.00005903244,0.00001210473,0.9777661],"study_design_scores_gemma":[0.001286887,0.0001439089,0.00002717823,0.00022007,0.00003078044,0.001877457,0.0003639369,0.9949363,0.00047933,0.00026929,0.0000499315,0.0003149658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2065051,0.001191334,0.7915145,0.0001706168,0.0001044076,0.000172145,0.00000169318,0.0001746866,0.000165536],"genre_scores_gemma":[0.7312366,4.80691e-7,0.2681019,0.0003580175,0.0002549806,0.000008850611,0.00000140637,0.00001426015,0.00002352935],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9875224,"threshold_uncertainty_score":0.9107179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02035570226833234,"score_gpt":0.2323190280049346,"score_spread":0.2119633257366022,"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."}}