{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001666355,0.00006940543,0.00008611698,0.000006027515,0.000132079,0.0001060272,0.0002522999,0.000019424,0.00001529528],"category_scores_gemma":[0.001748148,0.00003217141,0.00004452647,0.0003242483,0.0002980451,0.000100799,0.00009707044,0.00009535027,0.0000363634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006550534,"about_ca_system_score_gemma":0.00008375507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005247262,"about_ca_topic_score_gemma":0.000007589686,"domain_scores_codex":[0.9990712,0.0002727686,0.0001348918,0.0001603796,0.0002227913,0.0001379712],"domain_scores_gemma":[0.999052,0.0006516968,0.00005657201,0.0001810427,0.00001609519,0.00004260277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006093073,0.0002720108,0.06374767,0.0001412753,0.0000236646,0.00001153205,0.01088872,0.0004159638,0.0475955,0.8004581,0.05663595,0.01920029],"study_design_scores_gemma":[0.000330588,0.0006780393,0.8050497,0.00005886222,0.000007190576,0.000004251618,0.0001946781,0.0005811026,0.1115435,0.04556295,0.03579605,0.0001930889],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850543,0.00001180808,0.00006472552,0.01335427,0.0001643996,0.0002953849,0.00009774441,0.00005181846,0.00090552],"genre_scores_gemma":[0.9972907,9.690389e-7,0.000154706,0.002330821,0.00002084704,0.000005573914,0.000001905416,0.000005925722,0.0001885633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7548952,"threshold_uncertainty_score":0.2092822,"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."}}