{"id":"W2100851166","doi":"10.3390/s150924409","title":"Toward Epileptic Brain Region Detection Based on Magnetic Nanoparticle Patterning","year":2015,"lang":"en","type":"article","venue":"Sensors","topic":"Characterization and Applications of Magnetic Nanoparticles","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Epilepsy; Magnetic resonance imaging; Neuroscience; Superparamagnetism; Computer science; Electroencephalography; Epileptic seizure; Medicine; Radiology; Magnetic field; Psychology; Physics; Magnetization","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":[0.00009484182,0.0001127519,0.00009075962,0.00008007298,0.00003784239,0.00004113251,0.00007307852,0.00004491112,0.00005305972],"category_scores_gemma":[0.0000712472,0.000118251,0.00002974912,0.0002064174,0.00002542327,0.00004644827,0.000008698478,0.0000779719,0.0003367731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005216412,"about_ca_system_score_gemma":0.000008687746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004893568,"about_ca_topic_score_gemma":0.000003498732,"domain_scores_codex":[0.9993062,0.00003583535,0.0001694805,0.0001500594,0.0001498895,0.0001885162],"domain_scores_gemma":[0.999536,0.00005022257,0.00002332676,0.0002222135,0.00003576834,0.000132485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000840229,0.0001406656,0.001604547,0.00007101993,0.00001009593,0.00004029002,0.001058189,0.4350821,0.4142492,0.0001921807,0.002650533,0.1448172],"study_design_scores_gemma":[0.0008417465,0.0002203802,0.004720785,0.00002467246,0.00001158795,0.00001644595,0.0001606703,0.8334932,0.1498538,0.0001099794,0.01030242,0.0002443253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938976,0.00002296906,0.003113615,0.001244018,0.0001978667,0.0001555106,0.000001556997,0.0004140235,0.0009528049],"genre_scores_gemma":[0.9991038,0.000002871747,0.0002045256,0.0003654927,0.00006779701,0.00002847844,0.000005673855,0.00002859948,0.0001927172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3984111,"threshold_uncertainty_score":0.4822137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02596922234993372,"score_gpt":0.2119346167487711,"score_spread":0.1859653943988374,"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."}}