{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001022863,0.0006988671,0.0006576668,0.00117779,0.001289803,0.001996978,0.001226074,0.0004477908,0.00001643043],"category_scores_gemma":[0.005425339,0.00075045,0.0003217018,0.003387606,0.0002442056,0.001008814,0.0001955842,0.001305606,0.0008266957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001700122,"about_ca_system_score_gemma":0.0002969106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008040575,"about_ca_topic_score_gemma":0.000007462126,"domain_scores_codex":[0.9928609,0.0002552195,0.0008126742,0.002183991,0.002112155,0.001775028],"domain_scores_gemma":[0.9951444,0.002693917,0.0003505787,0.0009449545,0.0004686251,0.0003975188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002852067,0.0001515615,0.00002708047,0.00156873,0.00001053847,0.0001667904,0.002670305,0.008798786,0.9755453,0.001953954,0.002857632,0.005964065],"study_design_scores_gemma":[0.001599949,0.002494092,0.001690473,0.001478441,0.00009004917,0.0001038899,0.00963802,0.575092,0.3628119,0.0002544221,0.04240791,0.0023389],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749432,0.0002138453,0.0002982678,0.0003927643,0.01569628,0.003967256,0.0001225121,0.0005923013,0.003773531],"genre_scores_gemma":[0.7449167,0.000560136,0.00000527268,0.00003778784,0.000652309,0.0004588322,0.0001532699,0.0002698012,0.2529459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6127334,"threshold_uncertainty_score":0.9999513,"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."}}