{"id":"W4400777071","doi":"10.1162/jocn_a_02224","title":"Assessing the Impact of Transcranial Magnetic Stimulation on Speech Perception in Noise","year":2024,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Multisensory perception and integration","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canadian Institutes of Health Research; Université Laval","keywords":"Psychology; Transcranial magnetic stimulation; Perception; Speech perception; Audiology; Noise (video); Stimulation; Cognitive psychology; Communication; Neuroscience; Artificial intelligence","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":[0.0004498816,0.0002542313,0.0002323598,0.0001409234,0.00006751842,0.000172333,0.00007603929,0.0001820864,0.0005664072],"category_scores_gemma":[0.0014623,0.00005820133,0.0001139388,0.00004809558,0.0001554787,0.0001368845,0.0001622994,0.0001272024,0.0001115435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000648654,"about_ca_system_score_gemma":0.0001117478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002843392,"about_ca_topic_score_gemma":0.0007961133,"domain_scores_codex":[0.9998339,0.00004740596,0.00001682033,0.0000304105,0.00005166719,0.0000198282],"domain_scores_gemma":[0.9994648,0.0002509071,0.0001160671,0.00002532461,0.00005684111,0.00008603738],"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":[0.01054442,0.001295349,0.09465573,0.0002337232,0.0001576484,0.0003859416,0.0006087468,0.0006892061,0.8092403,0.0000533579,0.0001093964,0.08202615],"study_design_scores_gemma":[0.00004452498,0.02370802,0.8839765,0.00001236428,0.0001447602,0.0004333777,0.0002950432,0.00181058,0.08925565,0.00009666857,0.0002092692,0.00001329457],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994918,0.00006285034,0.0002785154,0.000005659628,0.000002847895,0.000004566482,0.000007835853,0.00000518021,0.0001407587],"genre_scores_gemma":[0.9994864,0.00005553003,0.0002548383,0.000007888386,0.000004467223,0.000005159146,0.00001689276,0.000001619263,0.0001672192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005664072,"threshold_uncertainty_score":0.002379239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08968024829547422,"score_gpt":0.4591652823031143,"score_spread":0.3694850340076401,"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."}}