{"id":"W2403596663","doi":"10.1016/j.clinph.2016.04.029","title":"On the effects of aging on short-latency afferent inhibition","year":2016,"lang":"en","type":"letter","venue":"Clinical Neurophysiology","topic":"Transcranial Magnetic Stimulation Studies","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bruyère; University of Ottawa","funders":"","keywords":"Afferent; Neuroscience; Latency (audio); Psychology; Computer science; Telecommunications","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":[0.0004608325,0.0004285351,0.0004225761,0.000289689,0.0003858789,0.0003434635,0.0004647452,0.002251622,0.002092082],"category_scores_gemma":[0.003387831,0.00007955124,0.000224888,0.0002771002,0.0007598979,0.0006473507,0.0002130768,0.001801185,0.0006999602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003426134,"about_ca_system_score_gemma":0.0002613213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001002423,"about_ca_topic_score_gemma":0.00145996,"domain_scores_codex":[0.9998897,0.00002028969,0.00002339946,0.00002243995,0.00002709734,0.00001705727],"domain_scores_gemma":[0.9988613,0.0007675695,0.00007222079,0.0001101523,0.0001300866,0.00005872489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007894807,0.0005627031,0.02310224,0.00118803,0.0002357749,0.3806831,0.001473522,0.0005878424,0.1152436,0.007609658,0.06572744,0.3956912],"study_design_scores_gemma":[0.001319497,0.005440251,0.2781771,0.0008489402,0.001180917,0.3054639,0.001278659,0.002997189,0.06932751,0.04678167,0.286956,0.0002284563],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.6769708,0.0522524,0.005755543,0.1663946,0.02264543,0.0001644417,0.0007877934,0.0002311029,0.07479792],"genre_scores_gemma":[0.9011846,0.01981504,0.001117401,0.04268339,0.02353321,0.00006089019,0.0001474124,0.00003350294,0.01142459],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.002251622,"threshold_uncertainty_score":0.006998777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08380019077493399,"score_gpt":0.3435131002038272,"score_spread":0.2597129094288932,"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."}}