{"id":"W4386843338","doi":"10.1002/epi4.12829","title":"Electroencephalography–functional magnetic resonance imaging for clinical evaluation in focal epilepsy","year":2023,"lang":"en","type":"article","venue":"Epilepsia Open","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Uehara Memorial Foundation","keywords":"Candidacy; Electroencephalography; Epilepsy; Functional magnetic resonance imaging; Magnetic resonance imaging; Concordance; EEG-fMRI; Confidence interval; Medicine; Epilepsy surgery; Psychology; Audiology; Radiology; Internal medicine; Psychiatry","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":[0.001387557,0.0005459732,0.0003165733,0.0009466882,0.000160164,0.0003603869,0.000276564,0.0003559257,0.001724681],"category_scores_gemma":[0.004245881,0.00008726369,0.0001807551,0.0003823834,0.0002570763,0.0003923377,0.0002639196,0.0003291295,0.0004346553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001561894,"about_ca_system_score_gemma":0.0004301557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003270357,"about_ca_topic_score_gemma":0.0006842776,"domain_scores_codex":[0.9994794,0.0002231168,0.00009797166,0.00006287653,0.0000971302,0.00003967434],"domain_scores_gemma":[0.9981453,0.0006966392,0.0005226855,0.00009100314,0.0004170661,0.0001273122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007907219,0.0001482316,0.9312447,0.000266199,0.0001064298,0.003553186,0.0001031518,0.0002608917,0.01274442,0.0001223952,0.0006895125,0.04997011],"study_design_scores_gemma":[0.00007291794,0.001169281,0.9683877,0.0001166648,0.0001009976,0.02307096,0.0001634597,0.001461611,0.003420649,0.0001356838,0.001880876,0.00001911671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985113,0.006319479,0.004268584,0.000343209,0.0000586772,0.0001471169,0.0003553909,0.00004555382,0.003348839],"genre_scores_gemma":[0.9962054,0.0008129418,0.002275079,0.00008201315,0.00007888332,0.00006112075,0.0002155116,0.000005984327,0.0002631032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001724681,"threshold_uncertainty_score":0.007338166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1096556243831903,"score_gpt":0.4366197264447114,"score_spread":0.3269641020615212,"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."}}