{"id":"W2182669531","doi":"10.1016/j.eplepsyres.2015.11.015","title":"Verbal memory and verbal fluency tasks used for language localization and lateralization during magnetoencephalography","year":2015,"lang":"en","type":"article","venue":"Epilepsy Research","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Hôpital Notre-Dame; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Canadian Institutes of Health Research","keywords":"Verbal fluency test; Magnetoencephalography; Psychology; Lateralization of brain function; Verbal memory; Temporal lobe; Laterality; Audiology; Fluency; Cognitive psychology; Cognition; Epilepsy; Electroencephalography; Neuropsychology; Developmental psychology; Neuroscience; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0009590593,0.0001566412,0.0002498585,0.0003983242,0.0002507697,0.00009235217,0.00008108377,0.0001210406,0.0000582855],"category_scores_gemma":[0.0003236012,0.0001332875,0.0000470076,0.0004954376,0.0002933618,0.0002043491,0.0001059254,0.000237366,0.00001905163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001148772,"about_ca_system_score_gemma":0.0001503189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002837202,"about_ca_topic_score_gemma":0.00006289065,"domain_scores_codex":[0.9978153,0.0002068506,0.0002220229,0.000439415,0.0007330818,0.0005832927],"domain_scores_gemma":[0.9985858,0.0001547327,0.000032072,0.0002814434,0.0003843699,0.0005615786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003271089,0.0005345253,0.9536368,0.001003236,0.0002029437,0.0004084407,0.01158497,0.00002481992,0.01010526,0.0008199896,0.005427997,0.01297992],"study_design_scores_gemma":[0.05269641,0.01706954,0.8478191,0.0009298364,0.0002992413,0.0005665508,0.0143419,0.01934345,0.03138293,0.005936651,0.008378645,0.001235723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941812,0.002347737,0.0003910557,0.0005956027,0.00006122048,0.001245886,0.00003514205,0.00006371344,0.00107847],"genre_scores_gemma":[0.9975153,0.0003365874,0.0004154454,0.00004826282,0.0001861485,0.0001810817,0.0001991239,0.00003257317,0.001085444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1058177,"threshold_uncertainty_score":0.5435305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05288308800942169,"score_gpt":0.3742152613407806,"score_spread":0.3213321733313589,"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."}}