{"id":"W3205705483","doi":"10.3390/neuroglia2010005","title":"Neurovascular Coupling in Seizures","year":2021,"lang":"en","type":"article","venue":"Neuroglia","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institute of General Medical Sciences; Canadian Institutes of Health Research","keywords":"Neurovascular bundle; Cerebral blood flow; Neuroscience; Epilepsy; Functional imaging; Neuroimaging; Medicine; Coupling (piping); Blood flow; Hemodynamics; Psychology; Cardiology; Anesthesia; Anatomy","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":[0.00002919316,0.00005852604,0.0001091718,0.00003060818,0.00002371491,0.000006509793,0.00003440678,0.00003074566,0.00004980027],"category_scores_gemma":[0.0000571043,0.00005841448,0.00004883566,0.0002092964,0.00001519172,0.0000244318,0.00002947856,0.0001572407,0.00001848717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001197812,"about_ca_system_score_gemma":0.00003356097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004810814,"about_ca_topic_score_gemma":0.000004559709,"domain_scores_codex":[0.9994906,0.000005364414,0.0001086746,0.0001894793,0.00008887411,0.0001170495],"domain_scores_gemma":[0.9996043,0.0000190022,0.0000159906,0.0002725959,0.00004107221,0.00004697228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001148227,0.001707782,0.07227756,0.0002515531,0.00002625993,0.01303987,0.0002120525,0.01627959,0.8167685,0.03071734,0.01127961,0.03732512],"study_design_scores_gemma":[0.002288393,0.0002137882,0.1228512,0.0001648194,0.00009150732,0.001180465,0.0001090493,0.03045877,0.2816369,0.004255058,0.5563603,0.0003897883],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762449,0.0004776194,0.01419362,0.003553525,0.00008101837,0.0002981835,0.000002978099,0.000245591,0.004902574],"genre_scores_gemma":[0.9844115,0.000260818,0.01215051,0.002069637,0.00007191839,0.00003998213,0.00001242159,0.00002271194,0.0009604522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5450807,"threshold_uncertainty_score":0.2382073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02003650435352503,"score_gpt":0.3115909616987577,"score_spread":0.2915544573452327,"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."}}