{"id":"W2804229704","doi":"10.1101/322008","title":"Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"National Institute of Dental and Craniofacial Research; National Cancer Institute; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital; National Institutes of Health; National Institute of Mental Health; State Government of Victoria; Berlin Institute of Health; University of Minnesota; University of Southern California; Thiemann Stiftung; American Brain Foundation; National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; Massachusetts General Hospital; Stiftung Charité; St. Jude Medical; Centre d'Imagerie BioMédicale; Michael J. Fox Foundation for Parkinson's Research; Boston Scientific Corporation; National Science Foundation","keywords":"Deep brain stimulation; Computer science; Neuroimaging; Pipeline (software); Artificial intelligence; Medical physics; Medicine; Neuroscience; Psychology","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":[0.002317148,0.001293392,0.0008823478,0.00159426,0.0003357333,0.002468397,0.001685063,0.0009871508,0.008009611],"category_scores_gemma":[0.004879574,0.000851962,0.001156705,0.001106259,0.0004296115,0.001081817,0.002549422,0.001360446,0.006191491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005817012,"about_ca_system_score_gemma":0.001711543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002731407,"about_ca_topic_score_gemma":0.00403617,"domain_scores_codex":[0.9991697,0.000189933,0.00006184325,0.0001130078,0.0003992046,0.00006631713],"domain_scores_gemma":[0.9988765,0.0003519809,0.00006848227,0.0002198013,0.0003629421,0.0001202679],"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":[0.001282238,0.0001835135,0.005909607,0.001369543,0.0007200625,0.001140762,0.0006823929,0.06117275,0.0776283,0.021207,0.1057485,0.7229553],"study_design_scores_gemma":[0.0003349256,0.0006068237,0.007108429,0.0003928728,0.0003163047,0.002777159,0.0002409509,0.6055644,0.09648117,0.08326024,0.2025827,0.0003338895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008042478,0.001566883,0.9515687,0.0008365346,0.0001440556,0.0002245372,0.002748367,0.03228125,0.002587235],"genre_scores_gemma":[0.08302702,0.002067706,0.8868641,0.0005885516,0.0001544277,0.0005461625,0.01370197,0.009335936,0.003714112],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008009611,"threshold_uncertainty_score":0.02679485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02811301885366044,"score_gpt":0.2789218059535516,"score_spread":0.2508087870998912,"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."}}