{"id":"W2948996897","doi":"10.1523/eneuro.0082-19.2019","title":"Cortical Tracking of Complex Sound Envelopes: Modeling the Changes in Response with Intensity","year":2019,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"Irish Research Council; Science Foundation Ireland","keywords":"Stimulus (psychology); Amplitude; Auditory cortex; Magnetoencephalography; Sensory system; Speech recognition; Computer science; Electroencephalography; Neuroscience; Psychology; Physics; Cognitive psychology","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":[0.0002673928,0.00007697764,0.000120736,0.00005511339,0.0000563403,0.00002332943,0.0001404117,0.00002151977,0.00002060193],"category_scores_gemma":[0.0004261337,0.00004830613,0.00001959813,0.000196249,0.00006689094,0.00006119172,0.00005433942,0.0001863087,0.000009844595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001362238,"about_ca_system_score_gemma":0.00001495499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001353542,"about_ca_topic_score_gemma":0.00007094382,"domain_scores_codex":[0.9991434,0.0001842422,0.0001216414,0.0002254536,0.0001754204,0.0001498759],"domain_scores_gemma":[0.9991457,0.0005639081,0.00004651637,0.0001931408,0.00002894537,0.00002172146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001440804,0.00003167865,0.003784744,0.000008667877,0.000001057435,0.00001867883,0.00031728,0.008145656,0.9853857,0.0005407787,0.000006352362,0.0003185617],"study_design_scores_gemma":[0.0006964433,0.0006367098,0.1287537,0.00005350091,0.000008242813,0.00009895008,0.0002905799,0.787038,0.08112015,0.0007419822,0.0003460805,0.0002156517],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979004,0.00000191971,0.0004039542,0.001221494,0.0001351848,0.000160856,0.00000274706,0.00001847676,0.0001549757],"genre_scores_gemma":[0.9983729,0.000004917757,0.0000270097,0.001478901,0.00001408539,0.00000202658,5.360681e-7,0.00001047267,0.00008922032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9042656,"threshold_uncertainty_score":0.1969867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08208699711501485,"score_gpt":0.2741439935042838,"score_spread":0.192056996389269,"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."}}