{"id":"W4413178502","doi":"10.3389/fncom.2025.1662598","title":"The improved thalamo-cortical spiking network model of deep brain stimulation","year":2025,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Deep brain stimulation; Neuroscience; Computer science; Psychology; Medicine; Parkinson's disease; Internal medicine","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":[0.0001977791,0.0006694213,0.0004798142,0.0003504058,0.0001998522,0.0005752383,0.0009544789,0.0008511093,0.002706667],"category_scores_gemma":[0.0004619626,0.0002031845,0.000782788,0.00033189,0.0005553942,0.0006247441,0.0007284873,0.0008660672,0.0003787975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005732152,"about_ca_system_score_gemma":0.00053487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00520142,"about_ca_topic_score_gemma":0.003826003,"domain_scores_codex":[0.9998806,0.00003682524,0.00000501231,0.00002637098,0.00003260806,0.00001860739],"domain_scores_gemma":[0.9998988,0.00003111219,0.00001797381,0.000008748005,0.00002553032,0.00001778731],"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":[0.00009197328,0.00003736205,0.0005474069,0.0001076571,0.00006144171,0.0002517091,0.00009239906,0.8325173,0.01549081,0.1360462,0.001548291,0.01320736],"study_design_scores_gemma":[0.000006821365,0.00001731357,0.0000907855,0.000003637645,0.000007686117,0.00002973597,0.000004637044,0.9865583,0.000233389,0.01224177,0.0008011162,0.000004846575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04897594,0.001395204,0.9052489,0.0008580058,0.0002155836,0.00007400991,0.0004943403,0.0003557504,0.04238235],"genre_scores_gemma":[0.9238141,0.001513963,0.04993533,0.0002521684,0.0001190053,0.0002434234,0.000292166,0.00009920013,0.02373063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00520142,"threshold_uncertainty_score":0.0103423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01978349511822709,"score_gpt":0.2707494109254489,"score_spread":0.2509659158072218,"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."}}