{"id":"W2913993997","doi":"10.1101/528810","title":"An MRI Atrophy Biomarker Predicts Global Prognosis in Early <i>De Novo</i> Parkinson’s Disease","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital du Sacré-Cœur de Montréal; McGill University; Montreal Neurological Institute and Hospital","funders":"Avid Radiopharmaceuticals; Genentech; H. Lundbeck A/S; Canadian Institutes of Health Research; Weston Brain Institute; Faculty of Medicine, McGill University; McGill University; Biogen; GlaxoSmithKline; Eli Lilly and Company; Bristol-Myers Squibb; Pfizer; Sanofi; Alzheimer's Association; Michael J. Fox Foundation for Parkinson's Research","keywords":"Atrophy; Biomarker; Internal medicine; Montreal Cognitive Assessment; Parkinson's disease; Medicine; Neuroimaging; Gait; Cardiology; Magnetic resonance imaging; Cognitive decline; Cognition; Disease; Psychology; Physical medicine and rehabilitation; Cognitive impairment; Dementia; Radiology; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005344618,0.0004084161,0.0004374727,0.0005256034,0.0002064111,0.000583998,0.0002060791,0.0004086352,0.001015702],"category_scores_gemma":[0.001277111,0.0001384103,0.0003189463,0.0002647313,0.0001876841,0.0003141617,0.0002804299,0.000360513,0.0002419708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001642171,"about_ca_system_score_gemma":0.0001344571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001228604,"about_ca_topic_score_gemma":0.001886598,"domain_scores_codex":[0.9998804,0.00003354086,0.00001421408,0.00004011999,0.00001405561,0.00001770142],"domain_scores_gemma":[0.9991444,0.0002118097,0.0003359885,0.00004469553,0.0001030518,0.0001600552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005253856,0.00003492181,0.9964413,0.000009938289,0.00005726305,0.0000507594,0.00001776905,0.0001490863,0.0006995265,0.00000731149,0.00008337272,0.001923286],"study_design_scores_gemma":[0.0000124751,0.0002448589,0.9981313,0.000006593718,0.00005190735,0.0001945113,0.00003180692,0.0009121613,0.0002745346,0.00005107809,0.00008486684,0.00000401235],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993157,0.0001640062,0.0001057343,0.00002328688,0.000003554438,0.000004583364,0.0001915434,0.000004046475,0.0001875411],"genre_scores_gemma":[0.9995048,0.00003839128,0.00009787992,0.000009900042,0.00000556863,0.000002339249,0.0002617195,9.9813e-7,0.00007842479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001228604,"threshold_uncertainty_score":0.003397822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01372330518899815,"score_gpt":0.2423279684105768,"score_spread":0.2286046632215787,"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."}}