{"id":"W4410204506","doi":"10.1109/tbme.2025.3567904","title":"Electrode Design for Internal Electric Field Delivery to Brain Tumors: Considering Electrical Power and Dynamic Field Shaping","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Canada Foundation for Innovation; Cancer Research Society","keywords":"Field (mathematics); Electrical engineering; Electrode; Power (physics); Electric field; Engineering; Computer science; Electronic engineering; Physics","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":[0.0002725714,0.0003820476,0.0001931207,0.0002195452,0.0001121536,0.000598458,0.0003918055,0.0003849185,0.0006896641],"category_scores_gemma":[0.001106839,0.0001593012,0.0001992002,0.0001700536,0.0001981804,0.0004084531,0.0002024575,0.0001608655,0.0002555655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003611911,"about_ca_system_score_gemma":0.0002931939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002249614,"about_ca_topic_score_gemma":0.00055038,"domain_scores_codex":[0.9998511,0.00002749802,0.00001156383,0.00003469843,0.00005965283,0.00001556823],"domain_scores_gemma":[0.9996896,0.0001042149,0.00009757552,0.00002525365,0.00007106445,0.00001237858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001496566,0.00005648445,0.002094978,0.0005328442,0.00003796008,0.0002691635,0.0001501637,0.07713564,0.8646216,0.001686601,0.0005336886,0.05273126],"study_design_scores_gemma":[0.00007287179,0.002209913,0.006440937,0.00007882169,0.0001891835,0.001626083,0.0001876721,0.1880562,0.7773115,0.002172153,0.02160126,0.00005344212],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5235705,0.002291393,0.4643597,0.000476422,0.00007867687,0.0002120713,0.000182012,0.0004072753,0.008421896],"genre_scores_gemma":[0.903145,0.0007970609,0.09412841,0.00005994043,0.00001713076,0.0000920804,0.00006486375,0.00007099636,0.001624531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006896641,"threshold_uncertainty_score":0.002620637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695350213021286,"score_gpt":0.2638315827630713,"score_spread":0.2468780806328584,"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."}}