{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001624034,0.0002102123,0.0002353514,0.0001825782,0.00009655314,0.0001736416,0.0001390959,0.0003186456,0.0009033108],"category_scores_gemma":[0.0009207096,0.0001037203,0.00009238721,0.00008408724,0.000257734,0.0002422255,0.0001623389,0.0003864186,0.0001306667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001879294,"about_ca_system_score_gemma":0.0001702645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00102984,"about_ca_topic_score_gemma":0.00161134,"domain_scores_codex":[0.9999126,0.00001017139,0.000004334942,0.00002690345,0.0000283864,0.00001761258],"domain_scores_gemma":[0.9996647,0.00007927584,0.0001347954,0.00001804614,0.00005281665,0.00005044416],"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":[0.001796469,0.0003026831,0.01261689,0.00005931378,0.0000235283,0.0001853028,0.0001922722,0.000228889,0.9731039,0.00004544364,0.0000400131,0.01140537],"study_design_scores_gemma":[0.00008064032,0.002655033,0.8152571,0.00001089018,0.00004553828,0.0008798622,0.0001928073,0.002755505,0.1773216,0.0004199658,0.0003575184,0.00002336927],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990662,0.00004531295,0.0006434391,0.000009386981,0.000002341802,0.000005810084,0.00001630797,0.000005272905,0.0002058739],"genre_scores_gemma":[0.9990249,0.00003771313,0.0005243296,0.00001163218,0.000003982699,0.00001420338,0.00003833305,0.000003109411,0.0003417986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00102984,"threshold_uncertainty_score":0.003021896,"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."}}