{"id":"W2334442666","doi":"10.1016/j.brs.2015.01.218","title":"Directional DBS improves therapeutic window: from model prediction to human use","year":2015,"lang":"en","type":"article","venue":"Brain stimulation","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Western Hospital; University of Toronto","funders":"","keywords":"Therapeutic window; Stimulation; Deep brain stimulation; Physical medicine and rehabilitation; Neuroscience; Brain stimulation; Window (computing); Medicine; Computer science; Psychology; Pharmacology; 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":[0.001371758,0.0007163491,0.000730465,0.0003571626,0.000136254,0.001035283,0.0004945415,0.0008263966,0.002300938],"category_scores_gemma":[0.006883983,0.0002144957,0.0004772582,0.0002409496,0.0002427653,0.00102405,0.000470872,0.001086636,0.0005184616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004318385,"about_ca_system_score_gemma":0.0008012673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006148086,"about_ca_topic_score_gemma":0.005886536,"domain_scores_codex":[0.9995903,0.0001695014,0.00002119027,0.000123037,0.00004971389,0.00004627313],"domain_scores_gemma":[0.9970789,0.002321139,0.0001398117,0.0002181997,0.0001739014,0.00006809291],"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":[0.002164794,0.0003939017,0.0310733,0.0002013502,0.0003331394,0.000183795,0.00009705982,0.7780635,0.004530745,0.003193029,0.007940952,0.1718244],"study_design_scores_gemma":[0.00002433198,0.0001160234,0.00292982,0.00001570266,0.00005350859,0.00004546125,0.00001960354,0.9907385,0.001066077,0.004478013,0.0005021018,0.00001082503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6449513,0.004454718,0.3276276,0.004367185,0.0004180079,0.0001033249,0.003620636,0.00270648,0.01175076],"genre_scores_gemma":[0.9926979,0.0002636727,0.00533199,0.0001351446,0.0000331533,0.00001441075,0.0004757613,0.00005514892,0.0009928786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006148086,"threshold_uncertainty_score":0.01222461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09525552759781279,"score_gpt":0.3275301962236397,"score_spread":0.2322746686258269,"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."}}