{"id":"W2937053922","doi":"10.3389/fnhum.2019.00097","title":"Functional MRI of Letter Cancellation Task Performance in Older Adults","year":2019,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Spatial Neglect and Hemispheric Dysfunction","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Toronto; Sunnybrook Health Science Centre","funders":"FedDev Ontario; Heart and Stroke Foundation of Canada; Alzheimer's Association","keywords":"Functional magnetic resonance imaging; Precentral gyrus; Supplementary motor area; Psychology; Neuroscience; Parietal lobe; Cerebellum; Superior frontal gyrus; Neural correlates of consciousness; Frontal lobe; Middle frontal gyrus; Lingual gyrus; Brain activity and meditation; Audiology; Putamen; Postcentral gyrus; Magnetic resonance imaging; Medicine; Cognition; Electroencephalography; Radiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001333942,0.0001365902,0.0001859621,0.0002242409,0.00008057832,0.00002438927,0.0002730461,0.00005881285,0.0001160834],"category_scores_gemma":[0.00006379335,0.0001393936,0.00003613112,0.0008352951,0.0001736876,0.0004469085,0.00005156819,0.0002194605,0.000006999408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009491443,"about_ca_system_score_gemma":0.00004462009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004666655,"about_ca_topic_score_gemma":0.00002481832,"domain_scores_codex":[0.9982949,0.00005768663,0.000326805,0.0005739876,0.0004284224,0.0003181611],"domain_scores_gemma":[0.9995121,0.00002992786,0.0001449604,0.0002495306,0.00002306982,0.00004044542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001318425,0.0001148255,0.4982012,0.00006001114,2.458692e-7,0.000004356339,0.0003793779,0.01704169,0.4793642,0.00007455138,0.002933087,0.001694639],"study_design_scores_gemma":[0.001354293,0.000181791,0.8071014,0.0001240339,0.000001908835,0.000004105994,0.00003786025,0.07010474,0.1189052,0.00008527243,0.001867476,0.0002319746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900553,0.00001722518,0.004251868,0.00009672479,0.003031305,0.0003684434,0.000002114621,0.0000257392,0.002151241],"genre_scores_gemma":[0.9977385,0.00003093075,0.0001147668,0.0007754064,0.00006125903,0.00001915636,0.000001657728,0.00001231141,0.001245989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.360459,"threshold_uncertainty_score":0.5684305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066172789075691,"score_gpt":0.2137533140643952,"score_spread":0.2030915861736383,"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."}}