{"id":"W2913827624","doi":"10.1523/jneurosci.2244-18.2019","title":"An Essential Role of the Intraparietal Sulcus in Response Inhibition Predicted by Parcellation-Based Network","year":2019,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"Japan Society for the Promotion of Science; Takeda Science Foundation","keywords":"Intraparietal sulcus; Neuroscience; Psychology; Transcranial magnetic stimulation; Stop signal; Posterior parietal cortex; Functional magnetic resonance imaging; Executive functions; Frontal lobe; Prefrontal cortex; Parietal lobe; Stimulation; Cognition; Computer science","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":[0.0002749282,0.0002014391,0.0001475828,0.000355885,0.0001353933,0.0003561895,0.0002374321,0.0001986019,0.001885422],"category_scores_gemma":[0.001542507,0.0001089474,0.0001821621,0.0001963451,0.0003967987,0.0004294999,0.0002649619,0.0001972907,0.0001563752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002737655,"about_ca_system_score_gemma":0.000206603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00185569,"about_ca_topic_score_gemma":0.001772126,"domain_scores_codex":[0.9998945,0.00002829275,0.000007263644,0.00003077946,0.00001793317,0.00002131071],"domain_scores_gemma":[0.9993716,0.0002545732,0.0002050661,0.00005361466,0.0000561413,0.00005911668],"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":[0.002154392,0.0002122473,0.1796809,0.0001824501,0.0003116886,0.0008969447,0.0007848759,0.01224384,0.7484067,0.004267594,0.0008143551,0.05004402],"study_design_scores_gemma":[0.000056982,0.000261971,0.9007729,0.00001014672,0.0001191701,0.000514706,0.000184649,0.05804472,0.03468075,0.004803443,0.0005286169,0.00002193115],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860384,0.00009121493,0.01131634,0.0001345216,0.000005565293,0.00003300698,0.0001401667,0.00009339112,0.002147388],"genre_scores_gemma":[0.9981846,0.00003096642,0.001409594,0.00001019227,0.000004502786,0.00001439942,0.0001323921,0.000009567561,0.0002037539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001885422,"threshold_uncertainty_score":0.006307364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058558020651755,"score_gpt":0.238517201867109,"score_spread":0.2279316216605915,"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."}}