{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008577154,0.0001171346,0.0003203549,0.0001856178,0.00006532256,0.00001993369,0.00020502,0.00004064032,0.000005746308],"category_scores_gemma":[0.001091772,0.00008709002,0.00007836633,0.0002030294,0.000117293,0.0001176294,0.00009285512,0.0002831635,0.000002656672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006939712,"about_ca_system_score_gemma":0.0000137306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005703576,"about_ca_topic_score_gemma":3.943603e-7,"domain_scores_codex":[0.9986553,0.0003930604,0.0004107378,0.0001959532,0.0001727063,0.0001722977],"domain_scores_gemma":[0.9987064,0.0006301721,0.0003340163,0.0001314158,0.0001046876,0.00009330904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009138139,0.00003275186,0.0001872452,0.00001092177,0.00000294584,0.00004844411,0.0000236425,0.0008895753,0.9948015,0.0001218782,0.00003275722,0.002934561],"study_design_scores_gemma":[0.002493122,0.00764697,0.3808476,0.00009869447,0.0000513427,0.002163446,0.00002701912,0.1648985,0.4365683,0.002002344,0.002733947,0.0004687345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981312,0.000009532478,0.00006506052,0.0007419558,0.0009460674,0.00006933897,0.000003321891,0.0000108601,0.00002270604],"genre_scores_gemma":[0.9983577,0.00001273546,0.0002044258,0.001191219,0.0001464325,3.386458e-7,3.952199e-7,0.00001287379,0.00007384754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5582332,"threshold_uncertainty_score":0.3551428,"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."}}