{"id":"W2585314126","doi":"10.3389/fnhum.2017.00045","title":"Corrigendum: Imaging Posture Veils Neural Signals","year":2017,"lang":"en","type":"erratum","venue":"Frontiers in Human Neuroscience","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; McGill University","funders":"","keywords":"Hum; Magnetoencephalography; Electroencephalography; SIGNAL (programming language); Sentence; Noise (video); Computer science; Signal-to-noise ratio (imaging); Psychology; Neuroscience; Speech recognition; Pattern recognition (psychology); Artificial intelligence; Telecommunications; Art; Image (mathematics)","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":[0.003620316,0.003185871,0.003358108,0.003865739,0.003783983,0.00426926,0.004381421,0.0111738,0.07587851],"category_scores_gemma":[0.04985617,0.001268784,0.003100499,0.001482556,0.004100956,0.002951924,0.002859767,0.01075492,0.05988164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005602891,"about_ca_system_score_gemma":0.003898717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02157066,"about_ca_topic_score_gemma":0.02090419,"domain_scores_codex":[0.9953923,0.000688204,0.0007895492,0.0007410432,0.002054194,0.0003346174],"domain_scores_gemma":[0.9605696,0.006934735,0.001284061,0.001552377,0.02851938,0.00113982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001304284,0.00000432596,0.00002035116,0.00006700258,0.000004995673,0.000087359,0.000008250506,0.00001449878,0.00002236526,0.0001374582,0.9970969,0.002523497],"study_design_scores_gemma":[0.00004308686,0.00003843049,0.0007897724,0.0003781189,0.00004343647,0.0007564431,0.00006861779,0.0002407004,0.0004728513,0.001294896,0.99581,0.00006367247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00007168216,0.0016732,0.0005013269,0.06398413,0.9292619,0.00005526552,0.000607561,0.000689433,0.003155508],"genre_scores_gemma":[0.004577907,0.007556822,0.001684429,0.1810613,0.640811,0.0003780072,0.001302381,0.000956168,0.1616722],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07587851,"threshold_uncertainty_score":0.2538389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04279118984510189,"score_gpt":0.2993684939437692,"score_spread":0.2565773040986674,"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."}}