{"id":"W4304195835","doi":"10.21203/rs.3.rs-2132668/v1","title":"Isolating sensory artifacts in the suprathreshold TMS-EEG signal over DLPFC","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Electroencephalography; Sensory system; Psychology; SIGNAL (programming language); Audiology; Neuroscience; Communication; Computer science; Speech recognition; Medicine","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":[0.0001475253,0.0002272508,0.0001777614,0.0001684332,0.00007967392,0.0001594666,0.00009335703,0.000134321,0.001704983],"category_scores_gemma":[0.0008532387,0.00006403997,0.00009321897,0.0001037639,0.0001881887,0.0001205453,0.0001556086,0.0001651398,0.0001625948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009325364,"about_ca_system_score_gemma":0.0001340959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005299013,"about_ca_topic_score_gemma":0.0009076634,"domain_scores_codex":[0.9999133,0.00001870866,0.000006793795,0.00002297847,0.00002546739,0.00001271687],"domain_scores_gemma":[0.9998186,0.00008792153,0.00003027074,0.00001532721,0.00003039658,0.00001744773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008453128,0.00003891568,0.003060678,0.0001167871,0.00001496518,0.0001081517,0.0000797285,0.0001203085,0.9838099,0.00005126094,0.00005397716,0.01169988],"study_design_scores_gemma":[0.0001275821,0.002096161,0.5316581,0.00003002009,0.00009965659,0.001609633,0.0003117814,0.00533506,0.4571299,0.000482148,0.001108877,0.00001119262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990163,0.0002517104,0.008679884,0.00003371996,0.00001243409,0.00004636774,0.00009948252,0.00004253052,0.0006710861],"genre_scores_gemma":[0.9981153,0.00005626093,0.001433475,0.00002074953,0.000006903183,0.00002729887,0.00004009434,0.00000645307,0.0002934295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001704983,"threshold_uncertainty_score":0.005703747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1971865747533169,"score_gpt":0.4221669360117155,"score_spread":0.2249803612583986,"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."}}