{"id":"W2015039597","doi":"10.1152/jn.00497.2013","title":"Temporal scaling of neural responses to compressed and dilated natural speech","year":2014,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; National Institute of Mental Health; University of Toronto","keywords":"Sensory system; Perception; Cognitive psychology; Narrative; Speech perception; Psychology; Cognition; Artificial neural network; Computer science; Neuroscience; Speech recognition; Artificial intelligence; Linguistics","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":[0.0002448922,0.0001975949,0.000145491,0.0002333273,0.00007303205,0.0002721051,0.0001420568,0.0002797817,0.001690041],"category_scores_gemma":[0.003974623,0.0001494698,0.0001573477,0.0001120034,0.0002994019,0.0003203493,0.0003000771,0.0003402285,0.0001226711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001502777,"about_ca_system_score_gemma":0.00007576237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003856203,"about_ca_topic_score_gemma":0.000313525,"domain_scores_codex":[0.99986,0.00002872722,0.00001321442,0.00004661279,0.00003250357,0.00001881392],"domain_scores_gemma":[0.9993829,0.0003547664,0.0000790901,0.0000554273,0.00006439443,0.00006341761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001015841,0.0000437445,0.002457841,0.00008003388,0.00002941346,0.0001588258,0.0002241707,0.001428634,0.9807884,0.0002688543,0.00008701068,0.01341724],"study_design_scores_gemma":[0.0001213403,0.002045229,0.527973,0.00006035525,0.0001277522,0.00270569,0.0005536592,0.06674699,0.3947523,0.002918102,0.001906968,0.00008859641],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947646,0.0001079526,0.004216034,0.00004247332,0.00002395718,0.00001994675,0.0001122063,0.00003744174,0.000675439],"genre_scores_gemma":[0.996464,0.0000761152,0.002879187,0.00003290539,0.00001506026,0.00002547574,0.0001292977,0.00001980721,0.0003581952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001690041,"threshold_uncertainty_score":0.005653739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02451407023128546,"score_gpt":0.2706900481918179,"score_spread":0.2461759779605324,"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."}}