{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002496299,0.0002348602,0.000218573,0.0001555674,0.000154868,0.0004991876,0.0004691352,0.0003399418,0.001069565],"category_scores_gemma":[0.001110223,0.0001738532,0.0003228456,0.0001239252,0.000287825,0.0004998296,0.0002574763,0.000309047,0.0001579449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005008512,"about_ca_system_score_gemma":0.0005962046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004292023,"about_ca_topic_score_gemma":0.0029723,"domain_scores_codex":[0.9999224,0.00001503945,0.000004673845,0.00001969561,0.00003116605,0.000007069912],"domain_scores_gemma":[0.999559,0.0002401295,0.00005135806,0.0000627123,0.00007217515,0.00001461091],"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":[0.0001190505,0.00004322976,0.002696605,0.0000826157,0.00004264994,0.0001571883,0.00007400117,0.9136864,0.06453274,0.004350638,0.0002494291,0.01396537],"study_design_scores_gemma":[0.000001961435,0.00001392238,0.0003823779,8.630234e-7,0.000002330261,0.00002195753,0.000003366053,0.9975843,0.001601336,0.0002828938,0.0001026212,0.000001979595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5252593,0.0001439373,0.4703133,0.0002375269,0.00002472414,0.00004535771,0.0001232861,0.0004733021,0.003379293],"genre_scores_gemma":[0.9642202,0.00006116564,0.03449265,0.00002028739,0.000006154619,0.000029489,0.00005368617,0.00003425831,0.00108214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004292023,"threshold_uncertainty_score":0.008534074,"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."}}