{"id":"W4300357527","doi":"10.17615/j1n6-sp18","title":"Cochlear Implant Programming: A Global Survey on the State of the Art","year":2020,"lang":"en","type":"article","venue":"UNC Libraries","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Cliniques Universitaires Saint-Luc; Medical Research Council; University of North Carolina at Chapel Hill; Vrije Universiteit Amsterdam; London Health Sciences Centre; Leids Universitair Medisch Centrum; European Commission; Universitatea de Medicina și Farmacie Grigore T. Popa - Iasi","keywords":"Cochlear implant; State (computer science); Audiology; Implant; State of art; Computer science; Medicine; Data science; Programming language; Surgery","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":[0.002315885,0.0002019759,0.000336838,0.002454161,0.0002366851,0.0008013739,0.0002836885,0.0005698954,0.001639796],"category_scores_gemma":[0.005721635,0.0002143485,0.0003164662,0.002663665,0.0004778999,0.00133745,0.001004557,0.000407531,0.000626969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003574534,"about_ca_system_score_gemma":0.0004598849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002097985,"about_ca_topic_score_gemma":0.001585188,"domain_scores_codex":[0.9980672,0.0005966148,0.0003828862,0.0001931918,0.0004951783,0.0002649952],"domain_scores_gemma":[0.9920204,0.002129945,0.003402809,0.0003175125,0.001337463,0.0007919117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000044649,0.00003421289,0.9680872,0.0001619515,0.00002930324,0.00010237,0.003696934,0.0000938166,0.0004303405,0.00007363764,0.001005187,0.02624045],"study_design_scores_gemma":[0.000001587563,0.0001441505,0.9885146,0.00008232296,0.00001194287,0.0004817986,0.007421307,0.0001208589,0.00009497578,0.00003043656,0.003082022,0.00001403948],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943985,0.001459728,0.0002269022,0.0006482202,0.00001562845,0.00002001314,0.0007359032,0.00001999016,0.002474975],"genre_scores_gemma":[0.9962929,0.002085964,0.0002493968,0.0002815593,0.00001957567,0.00002623624,0.0005726193,0.00001090461,0.0004608445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002454161,"threshold_uncertainty_score":0.01224768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06256204438335451,"score_gpt":0.2613179760360548,"score_spread":0.1987559316527003,"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."}}