{"id":"W2099287567","doi":"10.1016/s1053-8119(03)00222-2","title":"Cortical mechanisms for acquisition and performance of bimanual motor sequences","year":2003,"lang":"en","type":"article","venue":"NeuroImage","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Baycrest Hospital","funders":"National Institute of Mental Health","keywords":"Premotor cortex; Neuroscience; Psychology; Motor cortex; Motor area; Motor learning; Posterior parietal cortex; Primary motor cortex; Sequence (biology); Functional magnetic resonance imaging; Context (archaeology); Motor control; Supplementary motor area; Biology; Anatomy","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":[0.0001187331,0.0000716426,0.00009697315,0.00003900627,0.00009265057,0.00002153328,0.00005786918,0.000024764,0.00002286182],"category_scores_gemma":[0.0003167011,0.00006319937,0.00002862521,0.00006301717,0.00007395318,0.0001871777,0.000009407752,0.00005103472,0.00000418336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004634332,"about_ca_system_score_gemma":0.00001578791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001223792,"about_ca_topic_score_gemma":2.270022e-7,"domain_scores_codex":[0.9993212,0.00007098007,0.0001398191,0.0002158112,0.0001164474,0.0001357993],"domain_scores_gemma":[0.9995998,0.0001831887,0.00006042341,0.00008689538,0.00002765825,0.00004199637],"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":[0.00006259045,0.00002124989,0.00005511368,0.00002216896,5.134585e-7,0.000002192612,0.00002567425,0.000004260059,0.9757538,0.02275104,0.000004399566,0.001296987],"study_design_scores_gemma":[0.001010114,0.001480465,0.01638634,0.00001440734,0.00001734668,0.00004739967,0.00002291117,0.03794404,0.9375929,0.004556925,0.0007721016,0.0001550351],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850852,0.00001363375,0.01382571,0.0000934817,0.0001388379,0.0002873467,0.00001887366,0.00002608671,0.0005108523],"genre_scores_gemma":[0.997427,0.00002196408,0.001926901,0.0004379879,0.00001397897,0.00002367921,8.382418e-7,0.000007702477,0.0001399133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0381609,"threshold_uncertainty_score":0.2577195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03100335189273419,"score_gpt":0.2587391777316619,"score_spread":0.2277358258389277,"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."}}