{"id":"W4405281019","doi":"10.7554/elife.100830.1.sa0","title":"Reviewer #2 (Public review): Minimal background noise enhances neural speech tracking: Evidence of stochastic resonance","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stochastic resonance; Noise (video); Speech recognition; Tracking (education); Background noise; Artificial neural network; Computer science; Acoustics; Artificial intelligence; Psychology; Physics; Telecommunications","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":[0.05018329,0.002118408,0.004957282,0.004233396,0.003877643,0.009808308,0.007543274,0.02914108,0.06924101],"category_scores_gemma":[0.2467965,0.001948576,0.005038253,0.003231188,0.003182487,0.005698929,0.00354884,0.01049909,0.03772429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007209908,"about_ca_system_score_gemma":0.01673818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00442325,"about_ca_topic_score_gemma":0.006421999,"domain_scores_codex":[0.9639699,0.01035708,0.005692857,0.003586728,0.01494218,0.001451256],"domain_scores_gemma":[0.6213369,0.04192616,0.01801559,0.01287063,0.2956446,0.01020605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008064375,0.00001014591,0.0001141978,0.001556389,0.00004448833,0.00004595832,0.00002735374,0.00001878677,0.00007696232,0.0001080082,0.9926554,0.005261723],"study_design_scores_gemma":[0.0007209922,0.0001108777,0.002559388,0.006667433,0.0003562819,0.0003230662,0.0002089314,0.0003637593,0.0006129433,0.001739859,0.9862055,0.0001309439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.0004354855,0.01545522,0.001486133,0.3646148,0.6067716,0.001593377,0.003039399,0.0008303076,0.005773726],"genre_scores_gemma":[0.006936428,0.01643882,0.002764644,0.5935674,0.3294308,0.006283053,0.001874312,0.0009126205,0.04179185],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.06924101,"threshold_uncertainty_score":0.2653977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09955311121896854,"score_gpt":0.3586949967916806,"score_spread":0.2591418855727121,"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."}}