{"id":"W2966311196","doi":"10.3389/fneur.2019.00884","title":"Microstructural White Matter Characteristics in Parkinson's Disease With Depression: A Diffusion Tensor Imaging Replication Study","year":2019,"lang":"en","type":"article","venue":"Frontiers in Neurology","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Sanofi Genzyme; Genentech; H. Lundbeck A/S; Teva Pharmaceutical Industries; Union Chimique Belge; Sanofi; Biogen; GlaxoSmithKline; Servier; Pfizer; Eli Lilly and Company; Bristol-Myers Squibb; Michael J. Fox Foundation for Parkinson's Research","keywords":"Diffusion MRI; White matter; Neuroimaging; Neuropathology; Depression (economics); Psychology; Clinical psychology; Fractional anisotropy; Replication (statistics); Parkinson's disease; Neuroscience; Medicine; Disease; Psychiatry; Internal medicine; Magnetic resonance imaging; Radiology","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":[0.002942259,0.0004787756,0.0004011023,0.0004227814,0.0006826779,0.0006088156,0.0005977306,0.0005562217,0.0006768732],"category_scores_gemma":[0.006999741,0.0003535694,0.0005848213,0.0003881048,0.0004425415,0.0004295244,0.0007641445,0.0005516102,0.0003063567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003466812,"about_ca_system_score_gemma":0.0003313942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004663863,"about_ca_topic_score_gemma":0.006170749,"domain_scores_codex":[0.9990903,0.000323854,0.0001217793,0.0002656806,0.0001307512,0.00006761245],"domain_scores_gemma":[0.9965363,0.0005173993,0.0007911421,0.001361269,0.0005623102,0.000231603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006663359,0.0003109341,0.9863565,0.00005517181,0.0003960002,0.0006618169,0.001587559,0.00009137507,0.003595312,0.00006935384,0.0002465269,0.005963027],"study_design_scores_gemma":[0.00009692869,0.0007973429,0.9955451,0.00001810589,0.0001861813,0.001554597,0.0005971142,0.0002476072,0.0003985998,0.0001185746,0.0004279808,0.00001186876],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999263,0.000104386,0.0002377801,0.00002086996,0.000005035505,0.00004683004,0.0001713789,0.000002730807,0.0001479121],"genre_scores_gemma":[0.9993432,0.00002986691,0.0003039558,0.00001745874,0.000004650358,0.00002587363,0.000207151,0.000002294508,0.00006552989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004663863,"threshold_uncertainty_score":0.01556039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047184258197562,"score_gpt":0.2728891978692175,"score_spread":0.2624173552872419,"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."}}