{"id":"W2548099112","doi":"10.1016/j.nicl.2016.11.002","title":"Resting state functional network disruptions in a kainic acid model of temporal lobe epilepsy","year":2016,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ontario Brain Institute","keywords":"Neuroscience; Temporal lobe; Posterior cingulate; Epilepsy; Piriform cortex; Psychology; Thalamus; Resting state fMRI; Default mode network; Functional magnetic resonance imaging; Prefrontal cortex; Hippocampus; Kainic acid; Temporal cortex; Medicine; Internal medicine; Cognition; Glutamate receptor","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001412539,0.0002176134,0.0004412943,0.00009048729,0.0001692167,0.00002157167,0.000268659,0.00009231183,0.00007791631],"category_scores_gemma":[0.04381073,0.00016877,0.0002302447,0.000466483,0.0007092353,0.0003443277,0.000346348,0.000463491,0.00009964346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004845558,"about_ca_system_score_gemma":0.0001793087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007523947,"about_ca_topic_score_gemma":0.00006270444,"domain_scores_codex":[0.9963967,0.0006282491,0.001051093,0.0009775892,0.0004556684,0.0004907338],"domain_scores_gemma":[0.9843898,0.01454545,0.0003165618,0.0005189143,0.0000992628,0.0001299949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001497042,0.001220538,0.7700403,0.00004588805,0.00002127078,0.0001749834,0.0001045845,0.01592634,0.167773,0.003905386,0.02711466,0.012176],"study_design_scores_gemma":[0.005214263,0.001192817,0.8862539,0.0002784864,0.00003963292,0.00006172369,0.00003494336,0.05756368,0.003515438,0.04209062,0.002980929,0.000773593],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780341,0.000030928,0.01239545,0.006408452,0.00113983,0.0003156522,0.000100727,0.000137074,0.001437716],"genre_scores_gemma":[0.9951607,0.00009013099,0.001060519,0.002669755,0.0003294271,0.00003634611,0.000001637548,0.00003463921,0.000616824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1642576,"threshold_uncertainty_score":0.9642437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1769192621858627,"score_gpt":0.3654292022398329,"score_spread":0.1885099400539702,"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."}}