{"id":"W2070292779","doi":"10.1016/j.heares.2009.10.012","title":"A method for removing cochlear implant artifact","year":2009,"lang":"en","type":"article","venue":"Hearing Research","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre; Health Sciences Centre","funders":"Canadian Institutes of Health Research; Fondation Pour l'Audition","keywords":"Cochlear implant; Interstimulus interval; Audiology; Stimulus (psychology); Artifact (error); Subtraction; Speech recognition; Mathematics; Computer science; Medicine; Psychology; Artificial intelligence; Neuroscience","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003355846,0.00008743113,0.0001471598,0.0002372605,0.0005419237,0.0001603346,0.0002027081,0.00007751846,0.00004529487],"category_scores_gemma":[0.003675204,0.00007470074,0.00007301531,0.0004140276,0.00006949978,0.0001283456,0.00006085225,0.000403721,0.0001157315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009964578,"about_ca_system_score_gemma":0.0000958757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001004795,"about_ca_topic_score_gemma":0.000002111037,"domain_scores_codex":[0.9977174,0.0003818693,0.0002076434,0.0004707008,0.000537538,0.000684787],"domain_scores_gemma":[0.9969368,0.002470973,0.00002308101,0.0003023662,0.0001156676,0.0001510924],"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":[0.0000681231,0.00005498193,0.00008415623,0.00004116585,9.273099e-7,0.00001147017,0.0006396652,0.00006437675,0.881556,0.004603334,0.0008202528,0.1120555],"study_design_scores_gemma":[0.001385371,0.002463318,0.1118092,0.0003288974,0.000007112685,0.0002158105,0.0005765235,0.0591837,0.7200041,0.05709434,0.04639389,0.0005376834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836232,0.00002360997,0.009423562,0.003625837,0.0001042073,0.0006812329,0.000004094834,0.0001211987,0.002393021],"genre_scores_gemma":[0.9745427,0.00001108837,0.02368116,0.0003322593,0.0001349809,0.000032969,9.391133e-7,0.00001706524,0.001246835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1615519,"threshold_uncertainty_score":0.4399828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2756884204086882,"score_gpt":0.5058240825743123,"score_spread":0.2301356621656241,"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."}}