{"id":"W4401907493","doi":"10.1109/tbme.2024.3450789","title":"Closed-Loop Estimation Method of Neurostimulation Strength-Duration Curve Using Fisher Information Optimization","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Transcranial Magnetic Stimulation Studies","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Neurostimulation; Duration (music); Closed loop; Estimation theory; Control theory (sociology); Computer science; Mathematics; Statistics; Control engineering; Engineering; Physics; Acoustics; Artificial intelligence; Medicine; Control (management)","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":[0.0002000447,0.0002140896,0.0002052155,0.0006634132,0.0001199698,0.00009481802,0.00009924014,0.0001454343,0.0001346147],"category_scores_gemma":[0.0001918472,0.0002161738,0.0001039305,0.001192517,0.00006389942,0.0009599738,0.000001986817,0.0002480053,0.00002016537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009386016,"about_ca_system_score_gemma":0.00005078187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000230424,"about_ca_topic_score_gemma":5.070719e-7,"domain_scores_codex":[0.998216,0.00007089328,0.0006643165,0.0002833454,0.000558173,0.0002072108],"domain_scores_gemma":[0.9989164,0.0006716945,0.00009047107,0.0001611012,0.00007172074,0.00008858286],"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":[0.00002797703,0.0000482307,5.640188e-7,0.000102535,0.00001111416,0.000001604709,0.0002228384,0.8297517,0.1278411,0.0001491406,0.00000812762,0.04183504],"study_design_scores_gemma":[0.0004552613,0.0001254075,0.00009061394,0.0001289085,0.00006100233,0.00001316229,0.00001197823,0.9503628,0.04831304,0.00002208223,0.0002439417,0.0001717773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01834203,0.00001530728,0.9790809,0.0002153994,0.001467228,0.0003502926,0.00007908897,0.0003988757,0.00005086176],"genre_scores_gemma":[0.9287822,0.00002974929,0.07099371,0.0000536487,0.00005172129,0.00002449425,0.00001759768,0.00002863608,0.00001826314],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9104401,"threshold_uncertainty_score":0.8815313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02544468913826083,"score_gpt":0.2898961757341476,"score_spread":0.2644514865958867,"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."}}