{"id":"W4303953654","doi":"10.1080/00222895.2022.2131706","title":"Neural Correlates of Dual-Task Processing following Motor Sequence Learning: A Functional Near-Infrared Spectroscopy (fNIRS) Study","year":2022,"lang":"en","type":"article","venue":"Journal of Motor Behavior","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Functional near-infrared spectroscopy; Task (project management); Sequence learning; Dorsolateral prefrontal cortex; Psychology; Neuroscience; Orbitofrontal cortex; Prefrontal cortex; Primary motor cortex; Cognitive psychology; Sequence (biology); Dual (grammatical number); Cognition; Motor cortex; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0007421067,0.0002280822,0.0006477378,0.0002675492,0.0003685947,0.0000760222,0.0001753395,0.00005826469,0.0002655363],"category_scores_gemma":[0.0002372639,0.0002001307,0.0004047073,0.0003343468,0.0001109376,0.0002687753,0.000105201,0.001417133,0.000001962386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003230156,"about_ca_system_score_gemma":0.0004034652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002307305,"about_ca_topic_score_gemma":4.068162e-7,"domain_scores_codex":[0.9972831,0.000156938,0.0008336182,0.0002574861,0.001137664,0.0003311847],"domain_scores_gemma":[0.9986167,0.0000814079,0.0006162799,0.0002040276,0.0002793728,0.0002022265],"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":[0.0008853521,0.001788743,0.4127291,0.00003082904,0.00008281582,0.001320535,0.0006795552,0.0000620651,0.5812976,0.000003964126,0.0002539681,0.0008654782],"study_design_scores_gemma":[0.008356495,0.04081389,0.8905884,0.0004656836,0.00352751,0.005575268,0.007180952,0.009038152,0.0324433,0.0001088781,0.001122724,0.0007787526],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978235,0.0003507604,0.0002984242,0.0002156384,0.0005057006,0.0005889139,0.000008511354,0.00009420704,0.0001143837],"genre_scores_gemma":[0.9910718,0.000006682089,0.007426026,0.00005982768,0.0001660355,0.00006195284,0.000005807865,0.00004754013,0.001154334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5488544,"threshold_uncertainty_score":0.8161094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02898424376856056,"score_gpt":0.3303666206184218,"score_spread":0.3013823768498612,"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."}}