{"id":"W4312053813","doi":"10.1016/j.jneumeth.2022.109766","title":"The reliability of two prospective cortical biomarkers for pain: EEG peak alpha frequency and TMS corticomotor excitability","year":2022,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Pain Mechanisms and Treatments","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health","keywords":"Electroencephalography; Alpha (finance); Neuroscience; Transcranial magnetic stimulation; Reliability (semiconductor); Psychology; Medicine; Stimulation; Psychometrics; Developmental psychology; Physics","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":[0.002927453,0.0005761099,0.0003725643,0.0006772672,0.0002104658,0.0007231702,0.000359023,0.0007286123,0.001560393],"category_scores_gemma":[0.01773351,0.0002739822,0.000328243,0.0004741523,0.0004915501,0.0007930967,0.0004446874,0.0005183553,0.0006201497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001395917,"about_ca_system_score_gemma":0.0002557173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000603121,"about_ca_topic_score_gemma":0.000908765,"domain_scores_codex":[0.9986144,0.0004849143,0.000152673,0.0003536907,0.0003115931,0.00008280982],"domain_scores_gemma":[0.9861421,0.009212508,0.001524428,0.000996251,0.001877886,0.0002468457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00496221,0.0003013065,0.8673385,0.0003078297,0.00075882,0.000137722,0.0007578653,0.001634654,0.0647589,0.0003249188,0.0005505714,0.05816668],"study_design_scores_gemma":[0.0000489685,0.0009499258,0.9906053,0.00001667179,0.0001672996,0.0003881911,0.0001237344,0.001991039,0.005135823,0.000256839,0.0002996416,0.00001661931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835348,0.001172284,0.01156133,0.00009936232,0.0001071947,0.00009593411,0.0007117424,0.00007874439,0.002638679],"genre_scores_gemma":[0.9971727,0.000181017,0.001828767,0.00005769552,0.00006662103,0.00005835703,0.0002960744,0.0000160474,0.0003227938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002927453,"threshold_uncertainty_score":0.01548201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04134081429281548,"score_gpt":0.3979061078436108,"score_spread":0.3565652935507953,"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."}}