{"id":"W2889869378","doi":"10.1007/s00062-018-0727-8","title":"Improved Automatic Morphology-Based Classification of Parkinson’s Disease and Progressive Supranuclear Palsy","year":2018,"lang":"en","type":"article","venue":"Clinical Neuroradiology","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Progressive supranuclear palsy; Magnetic resonance imaging; Brain morphometry; High resolution; Neuroimaging; Pattern recognition (psychology); Medicine; Artificial intelligence; Computer science; Nuclear medicine; Pathology; Disease; Radiology; Neuroscience; Psychology; Geology","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":[0.000272839,0.0001884947,0.0005976834,0.00008982482,0.00006958154,0.000006790448,0.0001031952,0.0001827994,0.000168118],"category_scores_gemma":[0.000921803,0.0001487461,0.0001635154,0.0001145734,0.001029219,0.00003483996,0.00004528276,0.0001808054,0.00004488475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001749731,"about_ca_system_score_gemma":0.0001758514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003072343,"about_ca_topic_score_gemma":9.801582e-7,"domain_scores_codex":[0.9980833,0.0003507165,0.0005998822,0.0005881056,0.0001058118,0.0002722173],"domain_scores_gemma":[0.9982246,0.000361542,0.0003073382,0.0005103424,0.0001362375,0.0004599926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003459086,0.002429007,0.9448392,0.0002554529,0.0003151341,0.0005117606,0.00003981945,3.116397e-7,0.01341593,0.0006543267,0.001084174,0.03299584],"study_design_scores_gemma":[0.003647925,0.003401117,0.973029,0.00004947984,0.0004411639,0.00004502914,0.000008822215,0.01528057,0.0002744487,0.0003708064,0.003338773,0.0001128506],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967799,0.0002805355,0.0001535504,0.001617124,0.0003291198,0.0006325264,0.00004261425,0.00009085397,0.00007381735],"genre_scores_gemma":[0.9958485,0.000073293,0.001894335,0.001812081,0.0002006741,0.0000644882,0.00005134524,0.00002898177,0.00002632567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03288299,"threshold_uncertainty_score":0.6065689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05162786188581819,"score_gpt":0.3546559409921985,"score_spread":0.3030280791063804,"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."}}