{"id":"W4366463063","doi":"10.1002/lary.30710","title":"Influence of the Frequency‐to‐Place Function on Recognition with Place‐Based Cochlear Implant Maps","year":2023,"lang":"en","type":"article","venue":"The Laryngoscope","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; MED-EL Medical Electronics; Academic Medical Organization of Southwestern Ontario","keywords":"Cochlear implant; Formant; Speech recognition; Computer science; Filter (signal processing); Spiral ganglion; Vowel; Artificial intelligence; Audiology; Hearing loss; Medicine; Computer vision","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006361297,0.0004441862,0.00018135,0.000223397,0.00008314929,0.0004284212,0.0002104249,0.0002668432,0.002759694],"category_scores_gemma":[0.00768772,0.0001336196,0.0001597757,0.00008606644,0.0003482265,0.0004589219,0.0004353684,0.0001830413,0.0003839235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007499068,"about_ca_system_score_gemma":0.0001219639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005048417,"about_ca_topic_score_gemma":0.0005836252,"domain_scores_codex":[0.9995908,0.0001166668,0.00004226176,0.00007515395,0.0001262266,0.00004886892],"domain_scores_gemma":[0.9972305,0.001994782,0.0002531784,0.0001468437,0.0002004411,0.0001742576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01428548,0.000960762,0.1673728,0.0004379385,0.0001648577,0.00100969,0.002569436,0.002559006,0.5593715,0.0001468317,0.0004290935,0.2506926],"study_design_scores_gemma":[0.0002158998,0.01368199,0.8809118,0.00004528045,0.0001708361,0.002726567,0.001788165,0.008594129,0.09058505,0.0002427103,0.0009718797,0.00006560429],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986567,0.0000309856,0.0008817703,0.000007791237,0.00000408711,0.00001120066,0.00001497754,0.0000182538,0.0003741407],"genre_scores_gemma":[0.9989545,0.0000242533,0.0007637466,0.000009715333,0.00000302409,0.00001278153,0.00001982663,0.000005646921,0.0002065293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002759694,"threshold_uncertainty_score":0.009232104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03109435646364682,"score_gpt":0.262674183425494,"score_spread":0.2315798269618472,"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."}}