{"id":"W2003687456","doi":"10.1016/j.brainres.2007.01.129","title":"Gradient magnetic-field topography for dynamic changes of epileptic discharges","year":2007,"lang":"en","type":"article","venue":"Brain Research","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Hospital for Sick Children; SickKids Foundation","funders":"Japan Epilepsy Research Foundation","keywords":"Electrocorticography; Magnetoencephalography; Magnetic field; Dipole; Physics; Nuclear magnetic resonance; Epilepsy; Neuroscience; Electroencephalography; Psychology","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":[0.0009877409,0.00006805732,0.0001451368,0.0003131627,0.00008540423,0.000005159909,0.0001166931,0.00006664376,0.00007658789],"category_scores_gemma":[0.0003225555,0.00005705289,0.00007220696,0.000443379,0.0001319053,0.00001604708,0.00004818242,0.0001800137,0.000003771525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002614199,"about_ca_system_score_gemma":0.00002526253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002249952,"about_ca_topic_score_gemma":0.00009750392,"domain_scores_codex":[0.9989839,0.00001733888,0.0001564761,0.0001972924,0.0002697856,0.000375211],"domain_scores_gemma":[0.9985478,0.0007827529,0.00002939438,0.0003135875,0.0002101631,0.0001163287],"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":[0.0005291767,0.0006179185,0.003115739,0.0004793975,0.00002176814,0.00001281612,0.0004343177,0.00000120911,0.3843094,0.09508108,0.02313905,0.4922581],"study_design_scores_gemma":[0.002941081,0.01525944,0.0632197,0.0005754069,0.00006481972,0.00004743925,0.002893337,0.00132102,0.3583708,0.08014389,0.4746608,0.0005022127],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4586312,0.002399459,0.42605,0.09575254,0.00008296619,0.005754912,0.00007302684,0.0002072155,0.01104866],"genre_scores_gemma":[0.9376842,0.0003633271,0.05739979,0.0004046418,0.00009510892,0.0004193742,0.0000295166,0.00002598007,0.003578055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4917559,"threshold_uncertainty_score":0.2326549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06345058025741647,"score_gpt":0.4681897093999389,"score_spread":0.4047391291425224,"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."}}