{"id":"W2034757611","doi":"10.1097/aud.0b013e3182a4a6f9","title":"Analysis of Spatiotemporal Pattern Correction Using a Computational Model of the Auditory Periphery","year":2013,"lang":"en","type":"article","venue":"Ear and Hearing","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Loudness; Formant; Vowel; Computer science; Speech recognition; Metric (unit); Intelligibility (philosophy)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007953118,0.00003596905,0.00009444638,0.00007091201,0.0000826417,0.00001262308,0.00003228991,0.00002422885,0.00001712784],"category_scores_gemma":[0.00005291529,0.00002685604,0.00005370778,0.0001844917,0.00007111109,0.00008448996,0.00002888767,0.00005314793,6.16722e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001265138,"about_ca_system_score_gemma":0.00002756952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007417056,"about_ca_topic_score_gemma":0.000006696452,"domain_scores_codex":[0.9995391,0.00004102861,0.0001380726,0.0001001943,0.0001251294,0.00005645657],"domain_scores_gemma":[0.9997378,0.0000706524,0.00006797597,0.00006948245,0.00003700563,0.0000170855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002113379,0.00002284584,0.1710216,0.00002578024,0.00001272939,3.343143e-8,0.001313329,0.5629153,0.2603141,0.00002814007,0.00001147602,0.004332421],"study_design_scores_gemma":[0.00002774305,0.000006114404,0.4471627,0.000009500357,0.00001310529,2.382848e-7,0.00003816942,0.551599,0.001067966,0.00005882313,4.529511e-7,0.00001616379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866615,0.000003788155,0.01297914,0.00004641316,0.000143071,0.00006974343,0.000002057821,0.000005692653,0.000088577],"genre_scores_gemma":[0.9993691,8.742959e-7,0.000528402,0.00003093244,0.00001515996,0.000001432784,3.823255e-7,0.000003354974,0.00005030905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2761411,"threshold_uncertainty_score":0.1121242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05255878828902297,"score_gpt":0.2779630691424879,"score_spread":0.225404280853465,"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."}}