{"id":"W2156712047","doi":"10.1118/1.2936229","title":"3T MRI evaluation of the accuracy of atlas-based subthalamic nucleus identification","year":2008,"lang":"en","type":"article","venue":"Medical Physics","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subthalamic nucleus; Deep brain stimulation; Atlas (anatomy); Magnetic resonance imaging; Computer science; Affine transformation; Artificial intelligence; Nuclear medicine; Brain atlas; Computer vision; Pattern recognition (psychology); Parkinson's disease; Medicine; Radiology; Mathematics; Anatomy; Pathology; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002181134,0.00007325911,0.000177827,0.00001396963,0.00004392429,0.000001243487,0.0001102606,0.00006221493,0.0001545584],"category_scores_gemma":[0.0006277818,0.0000438149,0.0001161664,0.0001963137,0.0002354865,0.00002854191,0.0000231405,0.0001138617,0.00001636725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002232525,"about_ca_system_score_gemma":0.0002059276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002088795,"about_ca_topic_score_gemma":0.000001936928,"domain_scores_codex":[0.9983394,0.00008545165,0.0002222322,0.0001367823,0.001123904,0.00009229913],"domain_scores_gemma":[0.9991664,0.000132994,0.0001695288,0.0002848794,0.0001905843,0.00005566181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001025377,0.01660872,0.5302089,0.0008555076,0.0006609123,0.00008912254,0.001420241,0.0008506211,0.08793793,0.003228108,0.0240446,0.3330699],"study_design_scores_gemma":[0.005753146,0.0003729497,0.8453538,0.0001065212,0.000481855,0.000005284118,0.00001614085,0.009543864,0.1242327,0.01385871,0.0001705723,0.00010443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954512,0.00006819739,0.001014611,0.00236216,0.00008290351,0.0003484706,0.000006418296,0.00001212334,0.000653974],"genre_scores_gemma":[0.9993449,0.00002678403,0.00001696414,0.0004823288,0.00004027163,0.00001474098,0.00002534767,0.000007442725,0.00004124911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3329655,"threshold_uncertainty_score":0.178672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05321208284921554,"score_gpt":0.3259170867262823,"score_spread":0.2727050038770668,"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."}}