{"id":"W2737085740","doi":"10.1007/s10162-017-0627-7","title":"Predictions of Speech Chimaera Intelligibility Using Auditory Nerve Mean-Rate and Spike-Timing Neural Cues","year":2017,"lang":"en","type":"article","venue":"Journal of the Association for Research in Otolaryngology","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Speech perception; Perception; Intelligibility (philosophy); Speech recognition; Neural coding; Biology; Stimulus (psychology); Artificial neural network; Coding (social sciences); Computer science; Neuroscience; Artificial intelligence; Mathematics; Psychology; Statistics","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":[0.0006982347,0.0005048946,0.0002200549,0.0003570241,0.0002224431,0.0008676341,0.0003179793,0.0006045062,0.0009795186],"category_scores_gemma":[0.00394039,0.000371574,0.0005150022,0.00007829396,0.0003380621,0.0006336247,0.0003613342,0.0004772255,0.0003807603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003201557,"about_ca_system_score_gemma":0.0002949954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002445891,"about_ca_topic_score_gemma":0.001979705,"domain_scores_codex":[0.9998918,0.00003021515,0.000006473278,0.00002785075,0.00002382364,0.00001984203],"domain_scores_gemma":[0.9984387,0.001214994,0.00007398214,0.00003824091,0.0001238489,0.000110182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008947964,0.0001026271,0.04617061,0.00008254087,0.0001074987,0.0006557934,0.0002287292,0.8760076,0.04540203,0.005282598,0.0007484408,0.02431656],"study_design_scores_gemma":[0.000009898541,0.00003112358,0.01075958,0.000004575963,0.000009111479,0.00005723039,0.00002734196,0.9845844,0.002626327,0.001834937,0.00003984492,0.00001562159],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9237174,0.0001308884,0.07226501,0.0002758697,0.00005902906,0.00002387778,0.0002183137,0.0003780106,0.002931532],"genre_scores_gemma":[0.9985701,0.00001688768,0.001157858,0.00000740111,0.000006299052,0.000003528837,0.00002949397,0.00001665444,0.0001917447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002445891,"threshold_uncertainty_score":0.004863262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1943605638047753,"score_gpt":0.4464134053012996,"score_spread":0.2520528414965243,"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."}}