{"id":"W4283013740","doi":"10.31222/osf.io/4nvpt","title":"EEG and ERP Methods - Preregistration Template","year":2022,"lang":"en","type":"preprint","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; University of Toronto; University Health Network","funders":"","keywords":"Electroencephalography; Event-related potential; Event (particle physics); Computer science; Wish; Space (punctuation); Psychology; Sociology; Neuroscience; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004526899,0.0001956663,0.0002115105,0.00008357457,0.0001473958,0.0002632656,0.0004216934,0.0001085856,0.0007381434],"category_scores_gemma":[0.0001508833,0.0001705572,0.00006207621,0.00007446865,0.00007625745,0.00009232821,0.001432654,0.0005485826,0.000008530961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002760688,"about_ca_system_score_gemma":0.00005144711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009036726,"about_ca_topic_score_gemma":0.000007996603,"domain_scores_codex":[0.998176,0.0004353294,0.0002454649,0.000773772,0.0001969531,0.0001724936],"domain_scores_gemma":[0.9989533,0.0003905998,0.0001430648,0.0004400861,0.00001344352,0.00005950393],"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":[0.000102611,0.0002809149,0.0004642034,0.0008192512,0.0000734634,0.0001176676,0.004758183,0.003838334,0.7622256,0.04064391,0.02974245,0.1569334],"study_design_scores_gemma":[0.0004620713,0.0003381489,0.001874957,0.0001101456,0.00005473731,0.0001914489,0.0002616253,0.03902917,0.7215211,0.04859396,0.1863831,0.001179489],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5850885,0.0003974081,0.1723683,0.003396419,0.004653029,0.001321698,0.0001050242,0.0008300621,0.2318396],"genre_scores_gemma":[0.8698327,0.0001350748,0.1007792,0.001816992,0.0001428422,0.0001171382,0.00001880555,0.00004099462,0.02711623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2847442,"threshold_uncertainty_score":0.8082152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09346827095345348,"score_gpt":0.3943201817596239,"score_spread":0.3008519108061705,"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."}}