{"id":"W4381192705","doi":"10.1101/2023.06.19.545487","title":"Neural correlates of online action preparation","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Canada First Research Excellence Fund","keywords":"Premotor cortex; Neuroscience; Mirror neuron; Posterior parietal cortex; Stimulus (psychology); Psychology; Motor cortex; Task-positive network; Intraparietal sulcus; Dorsum; Communication; Cognition; Cognitive psychology; Biology; Stimulation; Anatomy; Default mode network","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001630626,0.0001960839,0.0001430427,0.0002973316,0.0001009143,0.0003750457,0.0001375697,0.00027864,0.003858551],"category_scores_gemma":[0.001607055,0.0001573767,0.00009652573,0.0002039793,0.0003245695,0.0002785879,0.0002939869,0.0003129605,0.0002934413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009700591,"about_ca_system_score_gemma":0.00009089457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005261992,"about_ca_topic_score_gemma":0.001025644,"domain_scores_codex":[0.999913,0.00001585275,0.000004424129,0.00003206177,0.0000184319,0.00001618865],"domain_scores_gemma":[0.999266,0.000278632,0.0002892491,0.00004763538,0.00005218179,0.00006635832],"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":[0.002196274,0.0002804198,0.1365422,0.0002998663,0.0001921963,0.0009669994,0.0008235693,0.001472028,0.7912886,0.00138492,0.0006739056,0.06387904],"study_design_scores_gemma":[0.0000217319,0.0002386182,0.9866952,0.00001162462,0.00002885746,0.0005496089,0.0001133069,0.001435072,0.009623623,0.0009518237,0.0003201877,0.00001046957],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947965,0.0001566179,0.002409411,0.00006447129,0.000009183167,0.00002034697,0.000211799,0.00002782385,0.002303974],"genre_scores_gemma":[0.9988866,0.00005824692,0.0006034366,0.0000203748,0.00000709659,0.00001159305,0.0001003871,0.000007061457,0.0003050812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003858551,"threshold_uncertainty_score":0.0129081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05014615264651182,"score_gpt":0.2892891113197373,"score_spread":0.2391429586732255,"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."}}