{"id":"W2786717636","doi":"10.1016/j.neuroscience.2018.01.061","title":"Motor Sequence Learning in the Brain: The Long and Short of It","year":2018,"lang":"en","type":"article","venue":"Neuroscience","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Neuroscience; Frontal eye fields; Dorsolateral prefrontal cortex; Psychology; Sequence learning; Eye movement; Stimulus (psychology); Working memory; Supplementary motor area; Smooth pursuit; Motor cortex; Posterior parietal cortex; Anterior cingulate cortex; Prefrontal cortex; Cognitive psychology; Cognition; Functional magnetic resonance imaging; Saccade","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001091656,0.0003389835,0.000604925,0.0005263378,0.0004790887,0.002311331,0.0009110793,0.001259709,0.004294251],"category_scores_gemma":[0.005837296,0.000338582,0.0003457099,0.0004903137,0.003007242,0.00742889,0.001359202,0.001932616,0.00054948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005279206,"about_ca_system_score_gemma":0.0006411689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001478654,"about_ca_topic_score_gemma":0.001523798,"domain_scores_codex":[0.9996045,0.00007080615,0.00003008056,0.0001301049,0.0001227291,0.00004187287],"domain_scores_gemma":[0.9973245,0.001256659,0.0002706405,0.0005428357,0.0003737141,0.000231767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006656108,0.0001038985,0.01194065,0.001001595,0.0002968322,0.0002054458,0.001380561,0.004555163,0.05081866,0.3319884,0.006181809,0.5908614],"study_design_scores_gemma":[0.00005128216,0.0005034707,0.0489093,0.0003149167,0.0001333075,0.000639374,0.0007032899,0.02017548,0.009785394,0.8912597,0.02741677,0.0001076551],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4556113,0.1253806,0.3025611,0.02640484,0.002970264,0.00009564755,0.001173306,0.00105094,0.08475197],"genre_scores_gemma":[0.9593797,0.009574912,0.02120948,0.001907831,0.001067815,0.00005654626,0.000279775,0.0003094813,0.006214426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004294251,"threshold_uncertainty_score":0.01436567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1441381500111895,"score_gpt":0.3760604647456656,"score_spread":0.2319223147344761,"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."}}