{"id":"W2032357296","doi":"10.1523/jneurosci.3340-10.2010","title":"Exploiting Development to Evaluate Auditory Encoding of Amplitude Modulation","year":2010,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Deafness and Other Communication Disorders; York University","keywords":"Sensory system; Neuroscience; Population; Perception; Natural sounds; Encoding (memory); Psychology; Biology; Computer science; Speech recognition; Medicine","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":[0.0003608232,0.0003469354,0.0002103764,0.0003789297,0.00009817857,0.0002583934,0.0001903618,0.0002948874,0.001216054],"category_scores_gemma":[0.00155218,0.0001885019,0.0001972194,0.0001486921,0.0002797044,0.0004511414,0.0003971624,0.0004155833,0.0002936143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002645981,"about_ca_system_score_gemma":0.0001762445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005959867,"about_ca_topic_score_gemma":0.0007516988,"domain_scores_codex":[0.9998325,0.00001596889,0.00001654596,0.00004392201,0.00006527194,0.00002574623],"domain_scores_gemma":[0.9993768,0.0002458369,0.0001404206,0.00005185558,0.0001169815,0.00006799387],"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":[0.00009637021,0.00001949278,0.006446457,0.00006465894,0.000008170387,0.00003864546,0.00007965854,0.0002515304,0.9819105,0.0001810552,0.00002587244,0.01087757],"study_design_scores_gemma":[0.000005623614,0.0009956462,0.1840405,0.00001626381,0.00003528899,0.0004754701,0.00008414127,0.01072471,0.8022511,0.0004497311,0.0009026929,0.00001869167],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687746,0.0003843887,0.02887274,0.00002721895,0.00001383949,0.00003460061,0.0001814343,0.0001659287,0.001545217],"genre_scores_gemma":[0.9920204,0.0001978482,0.006794315,0.0000233069,0.000002956396,0.0000298158,0.00009937672,0.00003543227,0.0007965058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001216054,"threshold_uncertainty_score":0.004068077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08503954632496256,"score_gpt":0.3414885466075073,"score_spread":0.2564490002825447,"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."}}