{"id":"W2143572820","doi":"10.1016/j.clinph.2006.04.018","title":"Minimization of cochlear implant stimulus artifact in cortical auditory evoked potentials","year":2006,"lang":"en","type":"article","venue":"Clinical Neurophysiology","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":188,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute on Deafness and Other Communication Disorders; China Academy of Engineering Physics; McGill University","keywords":"Cochlear implant; Artifact (error); Stimulus (psychology); Evoked potential; Audiology; Independent component analysis; Computer science; Medicine; Psychology; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007860374,0.0006307272,0.0005071701,0.0004981561,0.0002420223,0.000863568,0.0004167091,0.0004862158,0.001621689],"category_scores_gemma":[0.005690055,0.0002323423,0.0003738795,0.0004402263,0.0002389749,0.0007853777,0.000457183,0.0003670888,0.0005305252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001821841,"about_ca_system_score_gemma":0.0005291266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004767521,"about_ca_topic_score_gemma":0.00154009,"domain_scores_codex":[0.9994778,0.000180944,0.00004896742,0.00005138432,0.0002000392,0.00004090395],"domain_scores_gemma":[0.9979413,0.001155835,0.0001392204,0.0001830963,0.0005167316,0.00006373802],"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":[0.002406229,0.0001588001,0.004469627,0.0006704226,0.0001052849,0.0003547589,0.0001546732,0.007674665,0.5285895,0.003307261,0.0008761237,0.4512327],"study_design_scores_gemma":[0.0001381556,0.001104718,0.04778912,0.00008896274,0.000352973,0.004677064,0.0001248517,0.1279676,0.8055302,0.004250336,0.007913205,0.00006271494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1790044,0.001274804,0.8151963,0.0002013852,0.00009729562,0.00008296919,0.0001395483,0.0007471374,0.003256178],"genre_scores_gemma":[0.6373132,0.0009070091,0.3572287,0.0001137243,0.0001265958,0.00007610977,0.0003161987,0.0006957026,0.00322283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001621689,"threshold_uncertainty_score":0.005425096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04323529228569958,"score_gpt":0.3436604315768345,"score_spread":0.300425139291135,"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."}}