{"id":"W4408863673","doi":"10.1186/s42234-025-00169-6","title":"Focal control of non-invasive deep brain stimulation using multipolar temporal interference","year":2025,"lang":"en","type":"article","venue":"Bioelectronic Medicine","topic":"Transcranial Magnetic Stimulation Studies","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"European Research Council; Government of Ontario; Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; Mitacs; Canadian Institutes of Health Research","keywords":"Stimulation; Neuroscience; Interference (communication); Inferior colliculus; Brain stimulation; Decoupling (probability); Modulation (music); Computer science; Physics; Acoustics; Psychology; Telecommunications; Channel (broadcasting); Engineering","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":[0.0001978702,0.0003466227,0.0002000724,0.0001903175,0.0001204704,0.0002621336,0.0003682059,0.0002214679,0.001123501],"category_scores_gemma":[0.0004063501,0.0001078199,0.0002084611,0.0001458062,0.0003870004,0.0004122503,0.0004432519,0.0002954415,0.0001576672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000216497,"about_ca_system_score_gemma":0.0001392272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002582259,"about_ca_topic_score_gemma":0.0005222626,"domain_scores_codex":[0.999878,0.00001733208,0.000009313325,0.00002827219,0.0000510359,0.00001601283],"domain_scores_gemma":[0.9998239,0.0000717881,0.00005231634,0.00001635644,0.00001977476,0.00001596504],"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":[0.00006294552,0.000008626205,0.00009262007,0.00007867208,0.000007414635,0.00005638968,0.00003541385,0.0004364785,0.9854093,0.0006210078,0.00005942196,0.01313171],"study_design_scores_gemma":[0.00004464676,0.0009623195,0.004699471,0.0000345646,0.00005915982,0.001273104,0.00008180585,0.01281551,0.9698099,0.001503476,0.008682941,0.00003300247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3602228,0.004271405,0.6251363,0.0002789976,0.0001422206,0.0002297451,0.0001252876,0.0004282019,0.009164996],"genre_scores_gemma":[0.9190714,0.00154966,0.07648139,0.0001907899,0.00006503792,0.000134396,0.00005660354,0.0000526427,0.002397998],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001123501,"threshold_uncertainty_score":0.00375843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03291680314557861,"score_gpt":0.321689207795173,"score_spread":0.2887724046495944,"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."}}