{"id":"W4385334186","doi":"10.1101/2023.07.26.550679","title":"Reliability and generalizability of neural speech tracking in younger and older adults","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Generalizability theory; Reliability (semiconductor); Audiology; Speech recognition; Psychology; Speech perception; Electroencephalography; Noise (video); Computer science; Artificial intelligence; Medicine; Developmental psychology; Perception; Neuroscience","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00756888,0.0003909289,0.0005700089,0.0009082088,0.0002944317,0.0008798682,0.0005091293,0.0007695356,0.001647523],"category_scores_gemma":[0.03388797,0.0002487435,0.0004681167,0.0003999961,0.0005883707,0.0007535039,0.0008425175,0.0004713325,0.0006686488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001735766,"about_ca_system_score_gemma":0.00014774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00164527,"about_ca_topic_score_gemma":0.002181131,"domain_scores_codex":[0.9965684,0.0007395855,0.0006921936,0.001053996,0.0008015739,0.0001441396],"domain_scores_gemma":[0.979932,0.008500434,0.003740738,0.002501059,0.004840565,0.0004852608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009488735,0.0001422471,0.9376933,0.000244459,0.0005283261,0.0002247451,0.004900594,0.0005840549,0.01229413,0.0003014638,0.001156118,0.04098169],"study_design_scores_gemma":[0.00001119054,0.0002948327,0.9959611,0.00003021797,0.00006370042,0.0002999035,0.0004401698,0.0007833305,0.001057872,0.0002832871,0.0007560382,0.00001839768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916332,0.0005888455,0.004959532,0.00008006478,0.00007775389,0.00008291806,0.0007112139,0.00007682604,0.001789624],"genre_scores_gemma":[0.9970342,0.0001347752,0.001585649,0.00006318909,0.00004990686,0.00008639421,0.0006176546,0.00002524551,0.0004029411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00756888,"threshold_uncertainty_score":0.04002857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02795684184201138,"score_gpt":0.2617736665644225,"score_spread":0.2338168247224111,"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."}}