{"id":"W2985655825","doi":"10.1093/neuonc/noz175.696","title":"NIMG-25. LESION-NETWORK ANALYSIS TO IDENTIFY PREFERENTIALLY-ENGAGED NETWORKS IN EPILEPTOGENIC TUMORS","year":2019,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto; University Health Network","funders":"","keywords":"Voxel; Parahippocampal gyrus; Lesion; Epilepsy; Neuroscience; Medicine; Psychology; Radiology; Pathology; Temporal lobe","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":[0.0008605615,0.0004736303,0.0004082575,0.001243454,0.00029323,0.0005986893,0.0006020273,0.0003342818,0.01353144],"category_scores_gemma":[0.002374022,0.0001906602,0.0005022422,0.0007544427,0.0002317556,0.0003067922,0.0005004599,0.0002271347,0.00113996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005085701,"about_ca_system_score_gemma":0.0008072778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005931811,"about_ca_topic_score_gemma":0.01497815,"domain_scores_codex":[0.9998617,0.00005130194,0.000006367121,0.00003199439,0.0000306323,0.00001798616],"domain_scores_gemma":[0.999642,0.0001441816,0.00005632254,0.00004827548,0.00005319427,0.00005602629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003361824,0.0004900458,0.132795,0.001387524,0.002036617,0.001366873,0.000762551,0.06504152,0.03877979,0.0126252,0.09743845,0.6439145],"study_design_scores_gemma":[0.0008385877,0.001131026,0.4161265,0.0001748178,0.0008078471,0.00195364,0.0004324003,0.4737746,0.01892123,0.03163001,0.05405818,0.0001512057],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7193783,0.00147235,0.1910063,0.0007500387,0.0001874933,0.001686546,0.04597391,0.01574427,0.0238009],"genre_scores_gemma":[0.8283932,0.0003027718,0.1456639,0.0001420734,0.00004490081,0.002065592,0.01546249,0.000762924,0.007162132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01353144,"threshold_uncertainty_score":0.04526722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05170857288066104,"score_gpt":0.3224845097373746,"score_spread":0.2707759368567135,"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."}}