{"id":"W2952927026","doi":"10.1111/epi.16067","title":"WONOEP appraisal: Network concept from an imaging perspective","year":2019,"lang":"en","type":"review","venue":"Epilepsia","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Advancing Translational Sciences; National Institute of Neurological Disorders and Stroke; Osaka Medical Research Foundation for Intractable Diseases; Japan Epilepsy Research Foundation; Epilepsy Research UK; National Institutes of Health; Brain Research UK","keywords":"Epilepsy; Neuroscience; Neuroimaging; Perspective (graphical); Biological neural network; Psychology; Functional magnetic resonance imaging; Magnetic resonance imaging; Zebrafish; Cognitive science; Medicine; Computer science; Artificial intelligence; Biology","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":[0.001247589,0.001013092,0.001156428,0.002985452,0.0004914164,0.002073464,0.001491133,0.00239808,0.008023793],"category_scores_gemma":[0.002324631,0.0003040417,0.0006399336,0.002332814,0.001981946,0.003655766,0.00127529,0.003100199,0.003892994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001808449,"about_ca_system_score_gemma":0.002031803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002089499,"about_ca_topic_score_gemma":0.002895832,"domain_scores_codex":[0.9994967,0.0001072235,0.00005768369,0.00007691198,0.0002139535,0.00004749245],"domain_scores_gemma":[0.9990446,0.0005046059,0.00007273716,0.00003246492,0.0002845266,0.00006106896],"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":[0.00007557135,0.00002291873,0.0001453438,0.01282309,0.00007620054,0.0006284288,0.0002346501,0.0005522584,0.001080294,0.0799254,0.2946506,0.6097852],"study_design_scores_gemma":[0.000003893222,0.00002586937,0.0002952841,0.003335219,0.00001908948,0.0009077826,0.0000785208,0.00006473029,0.0001591159,0.009310635,0.9857889,0.000010863],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001316859,0.9785938,0.001083002,0.00582433,0.006864129,0.00001455747,0.00005254134,0.0000230701,0.007412758],"genre_scores_gemma":[0.002569131,0.9779142,0.0008214143,0.004786543,0.005016596,0.00003445967,0.0001060876,0.00001858191,0.008732801],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008023793,"threshold_uncertainty_score":0.0268423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1346920366043843,"score_gpt":0.4682078637122909,"score_spread":0.3335158271079066,"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."}}