{"id":"W4390744396","doi":"10.1016/j.bandl.2024.105378","title":"Microstructural white matter changes underlying speech deficits in Parkinson’s disease","year":2024,"lang":"en","type":"article","venue":"Brain and Language","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hospital for Sick Children; University of Reading","keywords":"Psychology; Parkinson's disease; White matter; Diffusion MRI; Basal ganglia; Audiology; Lateralization of brain function; Neuroscience; Disease; Magnetic resonance imaging; Medicine; Central nervous system; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008017737,0.0001096684,0.0001296745,0.0001350923,0.00002592074,0.00006042047,0.00003330239,0.00004595756,0.0004995666],"category_scores_gemma":[0.00002388671,0.00008745799,0.00003519249,0.0001342214,0.00003211134,0.00005182822,0.00002389203,0.0001339946,0.00006955086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002033526,"about_ca_system_score_gemma":0.00002551521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001027555,"about_ca_topic_score_gemma":0.0005187845,"domain_scores_codex":[0.9993737,0.0000188222,0.00008720991,0.0002221034,0.00009396223,0.0002042489],"domain_scores_gemma":[0.9997284,0.00003576107,0.000009564733,0.0001177671,0.000005644871,0.0001029064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002823859,0.00008545058,0.7477083,0.002648802,0.00008275798,0.006778125,0.02497852,0.000001390183,0.03761861,0.0003080525,0.0382336,0.141274],"study_design_scores_gemma":[0.0009526334,0.00005510568,0.9514825,0.0005706425,0.00004979573,0.0001897938,0.005815343,0.0003273837,0.0003654765,0.0001480998,0.03979455,0.0002486796],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691122,0.009346141,0.000007528833,0.01913804,0.00008885608,0.0001830152,0.00001753768,0.0000605454,0.002046108],"genre_scores_gemma":[0.9869111,0.00007949315,0.0001578128,0.006564429,0.00008128909,0.000008276063,0.00004294008,0.00002107032,0.006133548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2037742,"threshold_uncertainty_score":0.5469903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01630937387101114,"score_gpt":0.2879418206629575,"score_spread":0.2716324467919464,"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."}}