{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00181268,0.0006164549,0.0006328144,0.0005162194,0.0006343808,0.001930867,0.000842882,0.001809985,0.01462743],"category_scores_gemma":[0.002696317,0.0002419761,0.0004294598,0.0004443013,0.000824281,0.002328738,0.001101856,0.00410101,0.009419532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009187969,"about_ca_system_score_gemma":0.001150011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005031504,"about_ca_topic_score_gemma":0.002542423,"domain_scores_codex":[0.9995233,0.0001767621,0.00004762997,0.00004969742,0.0001750254,0.000027538],"domain_scores_gemma":[0.9990132,0.0007555055,0.00003014352,0.00002460048,0.0001086257,0.00006794444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007570821,0.0001065732,0.0003008908,0.0007945878,0.00001407018,0.001108771,0.001280778,0.0006661005,0.001354214,0.04837935,0.3332183,0.6127006],"study_design_scores_gemma":[0.000025251,0.00007453799,0.0005482442,0.001422102,0.00001482694,0.004494164,0.000352352,0.0003153455,0.0003270339,0.02739142,0.9650102,0.00002450589],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005966924,0.2502507,0.06847668,0.1532314,0.01535043,0.0004600079,0.000499949,0.001360309,0.5044037],"genre_scores_gemma":[0.0481267,0.3008072,0.1444718,0.1191199,0.01813926,0.001122603,0.0007771931,0.001210841,0.3662245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01462743,"threshold_uncertainty_score":0.04893363,"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."}}