{"id":"W4299310592","doi":"10.17615/wgr5-2p12","title":"Cochlear Implant Programming: A Global Survey on the State of the Art","year":2021,"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); State of art; Audiology; Computer science; Medicine; Data science; Programming language","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":[0.002319347,0.0002016597,0.0003380938,0.002448295,0.0002367379,0.0008019403,0.0002836042,0.0005688068,0.001631799],"category_scores_gemma":[0.005753407,0.0002139253,0.0003157453,0.002652334,0.0004792154,0.001339243,0.001003172,0.0004077037,0.000624248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003574144,"about_ca_system_score_gemma":0.0004587931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002093108,"about_ca_topic_score_gemma":0.001585904,"domain_scores_codex":[0.9980672,0.0005963634,0.000382399,0.0001935108,0.0004957473,0.0002647816],"domain_scores_gemma":[0.9920041,0.002142132,0.003402618,0.0003184376,0.001341316,0.0007914645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004468931,0.00003412055,0.9679211,0.0001618991,0.00002937176,0.000102301,0.003720396,0.00009412975,0.0004309584,0.00007371964,0.0009993401,0.02638797],"study_design_scores_gemma":[0.000001585146,0.0001438518,0.9885116,0.00008234987,0.00001196374,0.000482129,0.007434376,0.0001209713,0.00009525924,0.00003053523,0.003071355,0.00001406443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944354,0.001455213,0.000226952,0.0006439575,0.00001552825,0.00001983771,0.0007246958,0.00001984163,0.002458522],"genre_scores_gemma":[0.9963002,0.002087202,0.0002491328,0.0002794608,0.00001948982,0.00002611347,0.0005688525,0.00001087108,0.0004587694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002448295,"threshold_uncertainty_score":0.01226604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04694204907612953,"score_gpt":0.2655045416818956,"score_spread":0.2185624926057661,"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."}}