{"id":"W4405854449","doi":"10.1002/aur.3301","title":"Acoustic Exaggeration Enhances Speech Discrimination in Young Autistic Children","year":2024,"lang":"en","type":"article","venue":"Autism Research","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"National Natural Science Foundation of China; Guangzhou Medical University","keywords":"Autism; Psychology; Exaggeration; Audiology; Syllable; Generalization; Speech perception; Decoding methods; Speech production; Developmental psychology; Speech recognition; Neuroscience; Perception; Computer science; Medicine","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":[0.0001776523,0.0004098213,0.0002529484,0.000436098,0.0001747158,0.0002664624,0.0001339211,0.0002106491,0.0009950816],"category_scores_gemma":[0.001800921,0.000202968,0.0001846579,0.0001358595,0.0003123674,0.0001497743,0.0004298841,0.0002704789,0.0001539568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002078413,"about_ca_system_score_gemma":0.0002362504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002723993,"about_ca_topic_score_gemma":0.003501508,"domain_scores_codex":[0.9997459,0.0000406492,0.00002994221,0.00005259479,0.00008884133,0.00004216356],"domain_scores_gemma":[0.9992761,0.0002604047,0.0002614225,0.00003854948,0.00006160824,0.0001018464],"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":[0.001199169,0.000218393,0.3628933,0.0002137162,0.00008281291,0.006623671,0.00208712,0.000275231,0.5907219,0.00008082206,0.0001767314,0.03542714],"study_design_scores_gemma":[0.000005935235,0.0003857861,0.9895439,0.000005186223,0.00001967923,0.002220061,0.0003296152,0.0001576339,0.00713204,0.00002830039,0.0001657811,0.000006145526],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996736,0.00003872683,0.00005562519,0.000007734278,0.000001197453,0.000002417797,0.00001602221,0.000008146271,0.000196525],"genre_scores_gemma":[0.9993436,0.00007740835,0.0003396961,0.00001172297,0.000001836041,0.00000688103,0.00004344165,0.000004757018,0.0001707252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002723993,"threshold_uncertainty_score":0.005416274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06123518353607804,"score_gpt":0.3889233529452428,"score_spread":0.3276881694091647,"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."}}