{"id":"W2147914906","doi":"10.1109/tbme.2004.827265","title":"Fetal MEG Redistribution by Projection Operators","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Welichem Biotech (Canada)","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke","keywords":"Redistribution (election); Projection (relational algebra); Orthographic projection; Physics; Dipole; SIGNAL (programming language); Interference (communication); Optics; Computer science; Algorithm; Artificial intelligence; Telecommunications; Quantum mechanics","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":[0.00019388,0.0001420996,0.0001113565,0.0002087878,0.0001092545,0.0000855052,0.0002555627,0.0001440616,0.000006612154],"category_scores_gemma":[0.000008995143,0.0001394589,0.00006709091,0.0006880852,0.00003551689,0.0004178133,0.000002176896,0.0003158271,0.00002523298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002015323,"about_ca_system_score_gemma":0.00007402935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002602106,"about_ca_topic_score_gemma":0.000001358063,"domain_scores_codex":[0.9989305,0.0000191682,0.0002145681,0.0002809553,0.0003386441,0.0002161408],"domain_scores_gemma":[0.9995439,0.00002287159,0.0000271123,0.0002241416,0.00003707639,0.0001449199],"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":[0.00004380663,0.002235648,0.000001534329,0.00009233627,0.0002018409,0.00004821509,0.002051868,0.1332088,0.6073973,0.06385674,0.003780844,0.1870811],"study_design_scores_gemma":[0.000899039,0.000453563,0.00001435139,0.00007599404,0.00001148218,0.00006564405,0.00001987488,0.2291663,0.7578943,0.0002977464,0.01067923,0.0004224576],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003954526,0.0000139091,0.9926686,0.001400448,0.0006158076,0.0001607515,0.00001656903,0.001103121,0.00006622292],"genre_scores_gemma":[0.9747893,0.00001476221,0.0249071,0.0001441442,0.00003759833,0.00006149212,0.000009650688,0.0000129316,0.00002300732],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9708348,"threshold_uncertainty_score":0.5686969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006631202851678807,"score_gpt":0.2254631692561853,"score_spread":0.2188319664045065,"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."}}