{"id":"W2026474306","doi":"10.1002/hbm.22024","title":"Spatial MEG Laterality maps for language: Clinical applications in epilepsy","year":2012,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Dalhousie University; Izaak Walton Killam Health Centre; National Research Council Institute for Biodiagnostics","funders":"","keywords":"Laterality; Magnetoencephalography; Psychology; Epilepsy; Wada test; Neuroscience; Cognitive psychology; Audiology; Electroencephalography; Temporal lobe; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001121607,0.0001177342,0.0002835092,0.0001139527,0.0001342638,0.00001652551,0.00008128233,0.00009073743,0.0001434943],"category_scores_gemma":[0.0002173834,0.0001003438,0.0001370667,0.000113394,0.00006997806,0.00006990134,0.00004620179,0.0002208831,0.00006535118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008646374,"about_ca_system_score_gemma":0.00003967176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002121956,"about_ca_topic_score_gemma":0.0001403863,"domain_scores_codex":[0.9986514,0.0001140215,0.0003835675,0.0002354507,0.00015933,0.0004562586],"domain_scores_gemma":[0.998951,0.0003701551,0.00006233494,0.0003292594,0.00004096809,0.0002462472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004673723,0.0005494009,0.9857011,0.0001223458,0.00005504855,0.00000796203,0.001011473,1.769695e-7,0.002314263,0.002228582,0.003009451,0.004953388],"study_design_scores_gemma":[0.002151682,0.0001321937,0.9703323,0.00005591756,0.00001886291,0.000004513789,0.0003500184,0.00002793116,0.00007671271,0.000760385,0.0259916,0.00009791119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875236,0.0002733339,0.004455936,0.002407864,0.00007265181,0.00177159,0.00003581736,0.00007665186,0.003382625],"genre_scores_gemma":[0.9949628,0.000004884449,0.001528976,0.0005544386,0.0008027552,0.0004511509,0.0004014877,0.00001948728,0.001274031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02298214,"threshold_uncertainty_score":0.40919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09264643135419097,"score_gpt":0.423113589930622,"score_spread":0.330467158576431,"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."}}