{"id":"W4390329652","doi":"10.3174/ajnr.a8067","title":"Recommended Resting-State fMRI Acquisition and Preprocessing Steps for Preoperative Mapping of Language and Motor and Visual Areas in Adult and Pediatric Patients with Brain Tumors and Epilepsy","year":2023,"lang":"en","type":"article","venue":"American Journal of Neuroradiology","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Neuroradiology; Resting state fMRI; Medicine; Neuroimaging; Epilepsy; Artificial intelligence; Computer science; Radiology; Neurology","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":[0.005143194,0.001381603,0.001298887,0.001945861,0.0005933184,0.0006783466,0.002104064,0.002228316,0.009829299],"category_scores_gemma":[0.01953897,0.0005876208,0.001165154,0.001019392,0.0006493119,0.001020155,0.0004219812,0.002474796,0.007377392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005424354,"about_ca_system_score_gemma":0.002197908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004547823,"about_ca_topic_score_gemma":0.01169389,"domain_scores_codex":[0.9976282,0.0008743182,0.000762903,0.0002106097,0.0004401311,0.00008389069],"domain_scores_gemma":[0.9853598,0.005252513,0.001405687,0.0006310284,0.006978702,0.0003722874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001247633,0.000339904,0.007723466,0.01100733,0.0002574819,0.002957012,0.0007156843,0.002319022,0.0197069,0.002467665,0.2891144,0.6621436],"study_design_scores_gemma":[0.001809391,0.002261865,0.1759116,0.03800976,0.002012482,0.02025422,0.001421621,0.01225073,0.04292051,0.01515429,0.6873446,0.0006488804],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08390253,0.1363468,0.4985513,0.08314376,0.007341478,0.0296855,0.02738559,0.01522566,0.1184173],"genre_scores_gemma":[0.07823977,0.04914183,0.8006971,0.01417774,0.001508858,0.01970789,0.01602693,0.00141978,0.01908004],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009829299,"threshold_uncertainty_score":0.03288233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01514459701433705,"score_gpt":0.2708047009634536,"score_spread":0.2556601039491165,"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."}}