{"id":"W4412868255","doi":"10.1016/j.transm.2026.100324","title":"Transcranial magnetic stimulation induced pupil dilations can serve as a cortical excitability measure","year":2025,"lang":"en","type":"preprint","venue":"Transcranial magnetic stimulation .","topic":"Transcranial Magnetic Stimulation Studies","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Parkwood Institute; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transcranial magnetic stimulation; Measure (data warehouse); Neuroscience; Stimulation; Cortical neurons; Psychology; Pupil; Computer science; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0009952344,0.002255044,0.002349918,0.001209103,0.00142405,0.0006195419,0.00163721,0.001936406,0.005499747],"category_scores_gemma":[0.002685798,0.002524794,0.001284577,0.002394257,0.0009730114,0.00043819,0.0003378828,0.003127016,0.0002634726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005580683,"about_ca_system_score_gemma":0.001470958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001638119,"about_ca_topic_score_gemma":0.0009572746,"domain_scores_codex":[0.9854479,0.002130113,0.003514647,0.003891045,0.003208647,0.001807587],"domain_scores_gemma":[0.9914222,0.003733762,0.0006512634,0.002249279,0.001117601,0.0008258783],"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":[0.01006346,0.004718785,0.008665814,0.00287167,0.000321767,0.0002196401,0.01962037,0.2765622,0.5984913,0.01428596,0.0002507128,0.06392828],"study_design_scores_gemma":[0.02503273,0.004458948,0.726894,0.001204639,0.003871294,0.00006400552,0.000248668,0.1980828,0.002227034,0.03173467,0.001112934,0.005068274],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9402554,0.0008650428,0.02239162,0.004975475,0.004637541,0.01042742,0.002270479,0.001951445,0.0122256],"genre_scores_gemma":[0.993561,0.0001250221,0.001944435,0.001045313,0.0008340381,0.0008282287,0.0002879524,0.0002302316,0.001143826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7182282,"threshold_uncertainty_score":0.999876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06179529913640407,"score_gpt":0.3117334568523799,"score_spread":0.2499381577159758,"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."}}