{"id":"W4200271948","doi":"10.31234/osf.io/edbax","title":"Multimodal connectome biomarkers of cognitive and affective dysfunction in the common epilepsies","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Hospital for Sick Children","keywords":"Connectome; Neuroscience; Epilepsy; Neuroimaging; Cognition; Psychology; Connectomics; Idiopathic generalized epilepsy; Epilepsy syndromes; Temporal lobe; Disease; Medicine; Functional connectivity; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007016092,0.0006046909,0.0003766582,0.001619246,0.0002595541,0.001080861,0.0002787476,0.0006768139,0.00629725],"category_scores_gemma":[0.003319483,0.0001248808,0.0003647015,0.001117821,0.0004211991,0.0008507591,0.0008510635,0.0004329195,0.0006742066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000401589,"about_ca_system_score_gemma":0.0004081404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00136257,"about_ca_topic_score_gemma":0.003032014,"domain_scores_codex":[0.9997862,0.0000627043,0.0000234474,0.00004943865,0.00004996821,0.00002829093],"domain_scores_gemma":[0.9993321,0.0002366767,0.0001998356,0.00005444763,0.0001092224,0.00006768973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002668549,0.0002114962,0.5093608,0.003930497,0.002208126,0.007244612,0.001794049,0.004145211,0.05297913,0.01664802,0.02702653,0.3717829],"study_design_scores_gemma":[0.0001193116,0.0003394347,0.8985782,0.0009852863,0.0008531497,0.01203793,0.00103832,0.003247939,0.006971608,0.043896,0.03184669,0.00008617148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8654608,0.05685351,0.02114664,0.007856216,0.0004186793,0.000289999,0.01242096,0.0005269419,0.03502631],"genre_scores_gemma":[0.9570143,0.01767398,0.01357707,0.0009672554,0.0004264336,0.0002800979,0.005561939,0.0001197825,0.004379099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00629725,"threshold_uncertainty_score":0.02106643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02649725042669201,"score_gpt":0.3234724323303534,"score_spread":0.2969751819036614,"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."}}