{"id":"W2991532291","doi":"10.1016/j.nicl.2019.102111","title":"Predicting severity and prognosis in Parkinson's disease from brain microstructure and connectivity","year":2019,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital du Sacré-Cœur de Montréal; Ottawa Hospital; McGill University; University of Ottawa; Montreal Neurological Institute and Hospital","funders":"Sanofi Genzyme; UCB; Canadian Institutes of Health Research; Teva Pharmaceutical Industries; Weston Brain Institute; Roche; Natural Sciences and Engineering Research Council of Canada; Servier; Pfizer; Alzheimer's Association; Michael J. Fox Foundation for Parkinson's Research","keywords":"Globus pallidus; Parkinson's disease; Fractional anisotropy; Basal ganglia; Neuroscience; Cognition; Diffusion MRI; Psychology; Medicine; Internal medicine; Oncology; Disease; Magnetic resonance imaging; Central nervous system; Radiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004152619,0.0003339085,0.0002733177,0.0007362117,0.0001995087,0.0003744979,0.0001809785,0.0004253308,0.0007427835],"category_scores_gemma":[0.001469486,0.0001074448,0.0002747076,0.0003426247,0.0002064378,0.0004114069,0.0004038767,0.0002485993,0.000143907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000251349,"about_ca_system_score_gemma":0.0001721029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002353647,"about_ca_topic_score_gemma":0.005332367,"domain_scores_codex":[0.9998897,0.00002480247,0.00001586379,0.0000347286,0.00001878635,0.00001603893],"domain_scores_gemma":[0.9994056,0.00009527204,0.000316543,0.00003005812,0.00007011252,0.00008250008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001675752,0.00001845309,0.9946577,0.00001319945,0.00008635909,0.00004914688,0.00003997351,0.0004458681,0.0007223852,0.00001776967,0.00005880625,0.003722745],"study_design_scores_gemma":[0.000007042633,0.00009856385,0.9983352,0.000005490962,0.00003000749,0.0001506443,0.00003368062,0.001051007,0.0001475235,0.00008862226,0.00004964503,0.000002670068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992576,0.0001637931,0.0001702158,0.00002510295,0.000001460944,0.000007198009,0.0002070977,0.000005074667,0.0001624571],"genre_scores_gemma":[0.9995412,0.00003846333,0.0001506715,0.000003300412,0.000002575851,0.000003439235,0.0002207434,5.86011e-7,0.00003910796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002353647,"threshold_uncertainty_score":0.004679918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02633793104799525,"score_gpt":0.3154496049342994,"score_spread":0.2891116738863042,"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."}}