{"id":"W2905837152","doi":"10.15586/codonpublications.parkinsonsdisease.2018.ch8","title":"Considerations for Patient and Target Selection in Deep Brain Stimulation Surgery for Parkinson’s Disease","year":2018,"lang":"en","type":"book-chapter","venue":"Codon Publications eBooks","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; Krembil Foundation; University of Toronto","funders":"","keywords":"Deep brain stimulation; Parkinson's disease; Disease; Neuroscience; Selection (genetic algorithm); Stimulation; Medicine; Physical medicine and rehabilitation; Psychology; Computer science; Pathology; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001271857,0.0002274049,0.0003328619,0.0003636758,0.0002212325,0.00005905128,0.00002666604,0.0001942317,0.0001920587],"category_scores_gemma":[0.0007583158,0.0002148658,0.000147925,0.00002641425,0.00009593637,0.00005777021,0.00002069622,0.000105563,0.00000574662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008162357,"about_ca_system_score_gemma":0.0002314872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003410478,"about_ca_topic_score_gemma":0.0000873266,"domain_scores_codex":[0.998755,0.00002070891,0.0004174152,0.0004867082,0.0001228675,0.0001973298],"domain_scores_gemma":[0.9982205,0.0008552276,0.0002002112,0.000205683,0.0003348586,0.0001834867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002805932,0.001528198,0.03428679,0.0009692649,0.0007401273,0.00001957712,0.0009019383,0.00007125572,0.0001537713,0.4648014,0.4147056,0.07901614],"study_design_scores_gemma":[0.001883163,0.0005971252,0.01693368,0.00009385053,0.0002781666,0.00000675304,0.00000902439,0.004162305,0.00002333032,0.4156341,0.5600379,0.0003406277],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1210188,0.007121648,0.1270413,0.1274893,0.002329502,0.1075307,0.01009296,0.002754968,0.4946208],"genre_scores_gemma":[0.770106,0.00009002799,0.01174495,0.009501914,0.0004121647,0.007073698,0.004783066,0.000224933,0.1960632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6490873,"threshold_uncertainty_score":0.8761975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04988120387418665,"score_gpt":0.278351021504214,"score_spread":0.2284698176300274,"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."}}