{"id":"W2788817357","doi":"10.1016/j.nicl.2018.02.001","title":"Network connectivity of motor control in the ageing brain","year":2018,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; Marga und Walter Boll-Stiftung; Helmholtz-Alberta Initiative; National Institute of Mental Health; Deutsche Forschungsgemeinschaft","keywords":"Psychomotor learning; Prefrontal cortex; Psychology; Neuroscience; Ageing; Motor control; Motor cortex; Premotor cortex; Supplementary motor area; Motor system; Primary motor cortex; Core (optical fiber); Physical medicine and rehabilitation; Cognition; Functional magnetic resonance imaging; Biology; Medicine; Anatomy; Internal medicine; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003005281,0.0002095064,0.000137351,0.0007105515,0.00008394832,0.0002443847,0.0001551258,0.0001618656,0.0006373911],"category_scores_gemma":[0.001776207,0.0001020197,0.0001437555,0.0003342837,0.00020811,0.0003430752,0.0002301909,0.0001136064,0.00004805221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002058851,"about_ca_system_score_gemma":0.0001167064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003119495,"about_ca_topic_score_gemma":0.004241537,"domain_scores_codex":[0.9999166,0.00003126727,0.000003852861,0.00002999866,0.000009537152,0.00000884907],"domain_scores_gemma":[0.9996991,0.0001337756,0.00009070559,0.00002779036,0.00002871636,0.00001994585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001281291,0.0001714649,0.4379936,0.0006021701,0.001363399,0.001290727,0.003127814,0.09835928,0.2364423,0.01342767,0.001808809,0.2041316],"study_design_scores_gemma":[0.00001267452,0.0001330241,0.9144596,0.00002505067,0.0001491066,0.0005959739,0.0001542661,0.0664106,0.004120197,0.01286238,0.001053198,0.00002391528],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838343,0.0004609948,0.01451886,0.00006456968,0.000005104757,0.00001081231,0.0002263871,0.000038525,0.0008403009],"genre_scores_gemma":[0.997964,0.0001324968,0.001638085,0.000004389939,0.000004703945,0.0000083099,0.0001176288,0.000005129057,0.0001251779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003119495,"threshold_uncertainty_score":0.006202698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1058348830973563,"score_gpt":0.3664218769863654,"score_spread":0.2605869938890091,"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."}}