{"id":"W7133011578","doi":"","title":"Digital Systems for Closed-Loop Neuromodulation Research","year":2023,"lang":"","type":"dissertation","venue":"TSpace","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Firmware; Control reconfiguration; Neuromodulation; Software; Brain–computer interface; Brain stimulation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009552181,0.000769208,0.0006236082,0.0008829525,0.0005007992,0.002763901,0.0008854522,0.00128644,0.02453732],"category_scores_gemma":[0.002311822,0.0003449686,0.0005268985,0.0009903914,0.00123297,0.002205342,0.001602046,0.002110543,0.009666239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007895014,"about_ca_system_score_gemma":0.001040079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000710122,"about_ca_topic_score_gemma":0.0004319649,"domain_scores_codex":[0.9991129,0.0001455829,0.00007206928,0.0001533375,0.0004659553,0.00005020798],"domain_scores_gemma":[0.9990196,0.0003149257,0.00007164935,0.0002438147,0.000293664,0.00005621387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000102558,0.00009463348,0.0004852334,0.001009784,0.00005082252,0.0002195306,0.0002643034,0.01127566,0.0230297,0.4479767,0.02951026,0.4859807],"study_design_scores_gemma":[0.00006073148,0.0002949392,0.0007638775,0.0006584551,0.00004721745,0.0005954918,0.0001189446,0.05263484,0.01894277,0.1952195,0.730592,0.00007120374],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003473869,0.009241762,0.9049758,0.001727022,0.001304309,0.0002421803,0.0005689108,0.004289815,0.07417644],"genre_scores_gemma":[0.164467,0.03090882,0.6810293,0.001596568,0.001488767,0.001422968,0.002687343,0.001199344,0.1151998],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02453732,"threshold_uncertainty_score":0.08208555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1975492790713549,"score_gpt":0.4471122679581717,"score_spread":0.2495629888868167,"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."}}