{"id":"W4407933819","doi":"10.1016/j.brs.2024.12.874","title":"Parameter selection in VTA-based group analysis in Deep Brain Stimulation","year":2025,"lang":"en","type":"article","venue":"Brain stimulation","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deep brain stimulation; Selection (genetic algorithm); Stimulation; Brain stimulation; Neuroscience; Psychology; Medicine; Computer science; Internal medicine; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01008067,0.001481595,0.001511652,0.002266534,0.0005521491,0.002843491,0.001599154,0.001501207,0.005078388],"category_scores_gemma":[0.04392502,0.0006264977,0.001926794,0.001370021,0.0006651705,0.001239527,0.002194507,0.002056512,0.001700885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005339806,"about_ca_system_score_gemma":0.0014859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001564158,"about_ca_topic_score_gemma":0.001079876,"domain_scores_codex":[0.9962903,0.002437188,0.0003606168,0.0003758081,0.0004001723,0.0001359625],"domain_scores_gemma":[0.9856552,0.0119286,0.0005348269,0.0009780757,0.0007349625,0.0001683377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002695285,0.0004097206,0.01250984,0.002231326,0.001395879,0.0006584323,0.001544889,0.3037267,0.02170982,0.02080674,0.01002809,0.6222832],"study_design_scores_gemma":[0.0005170449,0.0009428842,0.00862516,0.0008418583,0.0007931943,0.0009365107,0.0006430268,0.8251438,0.0388846,0.0907502,0.0316291,0.0002925735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02117367,0.001157322,0.9719463,0.0002562611,0.0001145575,0.0004541902,0.0006054392,0.003324447,0.0009678315],"genre_scores_gemma":[0.2883021,0.0008500383,0.7007604,0.0002750944,0.00009957769,0.0027975,0.002387458,0.00355919,0.0009686912],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01008067,"threshold_uncertainty_score":0.0533123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01840279512669185,"score_gpt":0.3101785265900529,"score_spread":0.2917757314633611,"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."}}