{"id":"W3166979605","doi":"10.1002/hbm.25558","title":"Characterizing white matter alterations subject to clinical laterality in drug‐naïve de novo Parkinson's disease","year":2021,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Concordia University","funders":"Canadian Institutes of Health Research","keywords":"White matter; Diffusion MRI; Fractional anisotropy; Laterality; Disease; Psychology; Neuroscience; Parkinson's disease; Medicine; Magnetic resonance imaging; Physical medicine and rehabilitation; Pathology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000370704,0.0001368479,0.0002466696,0.0001163698,0.000166851,0.00006192434,0.00009703235,0.00003706112,0.0001855374],"category_scores_gemma":[0.0001378373,0.0001515263,0.0001023948,0.0002712024,0.00004076642,0.00009570039,0.0001074979,0.0003086704,0.00005402013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008050969,"about_ca_system_score_gemma":0.00007468388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001116705,"about_ca_topic_score_gemma":0.00003261359,"domain_scores_codex":[0.9985611,0.0001308614,0.0004288831,0.000466698,0.0001099928,0.0003024628],"domain_scores_gemma":[0.9990247,0.0001012361,0.00006832021,0.0005086481,0.00005852928,0.0002385439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001887705,0.0001648589,0.9451104,0.00006722144,0.000008013638,0.0002499032,0.0005740063,0.000007925718,0.04748764,0.0007682338,0.005276054,0.0002668402],"study_design_scores_gemma":[0.0003390924,0.000009995149,0.9131083,0.0002415852,0.00001054213,0.00002764496,0.0000408273,0.00009898416,0.0002495356,0.001236165,0.08449493,0.000142387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9267555,0.00001526995,0.01245913,0.05926064,0.00004282152,0.0003971095,0.00001739077,0.0001467246,0.0009053864],"genre_scores_gemma":[0.9531401,0.000008308076,0.0119378,0.03261416,0.0002581717,0.0001408447,0.0001029435,0.00003020737,0.001767449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07921888,"threshold_uncertainty_score":0.6179063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1086289656865054,"score_gpt":0.4027043073040298,"score_spread":0.2940753416175244,"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."}}