{"id":"W2338307849","doi":"10.1523/jneurosci.3355-15.2016","title":"Age-Related Changes in Frontal Network Structural and Functional Connectivity in Relation to Bimanual Movement Control","year":2016,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Transcranial Magnetic Stimulation Studies","field":"Neuroscience","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vlaamse regering; Belgian Federal Science Policy Office; University of Oxford; Université de Sherbrooke","keywords":"Psychology; Neuroscience; Transcranial magnetic stimulation; White matter; Dorsolateral prefrontal cortex; Premotor cortex; Neurophysiology; Prefrontal cortex; Coactivation; Diffusion MRI; Stimulation; Dorsum; Cognition; Electromyography; Magnetic resonance imaging; Medicine; Anatomy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003997419,0.0001126253,0.0002133065,0.0002405921,0.00009182619,0.00003306075,0.0001175872,0.00003414643,0.00001707169],"category_scores_gemma":[0.001088853,0.00007822204,0.00002802684,0.000491578,0.000190154,0.0003388173,0.00004133599,0.000150155,0.000001927532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007571156,"about_ca_system_score_gemma":0.00002988592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001161687,"about_ca_topic_score_gemma":0.0001135707,"domain_scores_codex":[0.9985448,0.000176354,0.0003773471,0.0002750489,0.0003753442,0.0002511671],"domain_scores_gemma":[0.9990106,0.0006053753,0.0001835582,0.00007091162,0.00003982699,0.00008973325],"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":[0.0002768567,0.00002674279,0.0541186,0.000001740482,7.06145e-7,0.00005998349,0.0002240748,0.006610571,0.9350723,0.0006295641,0.0000181766,0.002960667],"study_design_scores_gemma":[0.002493927,0.0004734043,0.9914303,0.00004710941,0.000003805682,0.00005215771,0.00001360598,0.002236649,0.001051966,0.002020105,0.00008513368,0.00009179393],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921804,0.00003727361,0.002680844,0.003854451,0.0009663925,0.0002173311,0.000005100998,0.000008910811,0.00004930657],"genre_scores_gemma":[0.9985692,0.00002608758,0.00009429579,0.001190554,0.00006771396,0.000003897705,2.506601e-8,0.00000569412,0.00004253991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9373117,"threshold_uncertainty_score":0.3189802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03152807084086343,"score_gpt":0.2636872095520175,"score_spread":0.2321591387111541,"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."}}