{"id":"W7117470219","doi":"10.1186/s12984-025-01825-3","title":"Temporal interference stimulation of peripheral nerves induces functionally diverse limb movements revealed by automated pose estimation and unsupervised behavioral analysis","year":2025,"lang":"en","type":"article","venue":"Journal of NeuroEngineering and Rehabilitation","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Toronto Rehabilitation Institute; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Functional electrical stimulation; Neuromodulation; Neurophysiology; Peripheral; Neurorehabilitation; Sensory system; Electromyography","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":[0.0002403938,0.0002391664,0.0001151504,0.0002246197,0.00007888932,0.0001460088,0.0001186307,0.000130014,0.0006454518],"category_scores_gemma":[0.0005504151,0.00008160286,0.0001492785,0.0001149836,0.0002127696,0.0001520288,0.0002563203,0.0001599897,0.00009051788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001173697,"about_ca_system_score_gemma":0.000134957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005160787,"about_ca_topic_score_gemma":0.001292265,"domain_scores_codex":[0.9998795,0.00002431042,0.000008851105,0.0000266205,0.00004462084,0.00001616237],"domain_scores_gemma":[0.9997625,0.0001054824,0.00004970192,0.00002344025,0.0000390068,0.00001988715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001106577,0.00004940778,0.001707348,0.00003065629,0.000007133918,0.00002309098,0.00002546207,0.002263621,0.974021,0.00007704573,0.00004338413,0.02164123],"study_design_scores_gemma":[0.0000206046,0.001608552,0.1670975,0.00002065362,0.00004230233,0.0005124201,0.0001276637,0.186506,0.6426316,0.0004644702,0.0009350145,0.00003313541],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8885975,0.0001222734,0.1102039,0.00003373128,0.00001557889,0.00005389893,0.00008601318,0.0001522071,0.0007350558],"genre_scores_gemma":[0.9752821,0.00007496153,0.02386466,0.00002824687,0.000006063924,0.00005001149,0.00005938683,0.00001055237,0.0006239723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006454518,"threshold_uncertainty_score":0.002159297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007425310342124744,"score_gpt":0.2451781854070038,"score_spread":0.2377528750648791,"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."}}