{"id":"W2909281355","doi":"10.1109/fit.2018.00039","title":"Real Time Fixed Point Adaptive Chaotic System Generator for Deep Brain Stimulation Using FPGA","year":2018,"lang":"en","type":"article","venue":"","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Pars compacta; Substantia nigra; Deep brain stimulation; Neuroscience; Parkinson's disease; Dopamine; Stimulation; Computer science; Chaotic; Synchronization (alternating current); Psychology; Medicine; Artificial intelligence; Disease; Dopaminergic","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001014191,0.0002196587,0.000143228,0.0001532689,0.0001003137,0.0002035057,0.0002551419,0.0001739197,0.003804812],"category_scores_gemma":[0.0001881423,0.00006940791,0.00009288197,0.00009826128,0.00009415891,0.0001282977,0.0001085414,0.0001751841,0.000344378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001597624,"about_ca_system_score_gemma":0.0001307919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004843839,"about_ca_topic_score_gemma":0.0007482942,"domain_scores_codex":[0.9999374,0.00001465455,0.000004770756,0.000009921039,0.00002675806,0.000006510809],"domain_scores_gemma":[0.9999262,0.00002583707,0.000009721231,0.000009119981,0.00002244907,0.000006651139],"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":[0.0007747194,0.0001863588,0.003379733,0.0008058562,0.00008515779,0.001079951,0.000296665,0.1444337,0.38131,0.01237238,0.007446235,0.4478293],"study_design_scores_gemma":[0.0001825051,0.001330254,0.003942993,0.00007823572,0.00004373677,0.001191862,0.0000469193,0.8577221,0.1042285,0.002230081,0.02895292,0.00004989145],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1731624,0.001231664,0.7935383,0.0004075603,0.000313018,0.00040363,0.0003090263,0.003824516,0.0268099],"genre_scores_gemma":[0.9213136,0.0001899113,0.07300576,0.00006120647,0.00001612437,0.0001189117,0.0001051226,0.00003229796,0.005157101],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003804812,"threshold_uncertainty_score":0.01272833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0415165362026167,"score_gpt":0.2917302743957134,"score_spread":0.2502137381930967,"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."}}