{"id":"W4399734160","doi":"10.1097/wco.0000000000001284","title":"Advances in functional and structural imaging of the brainstem: implications for disease","year":2024,"lang":"en","type":"article","venue":"Current Opinion in Neurology","topic":"Fetal and Pediatric Neurological Disorders","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Brainstem; Neuroscience; Context (archaeology); Neuroimaging; White matter; Functional imaging; Neuropathology; Neuroanatomy; Medicine; Magnetic resonance imaging; Psychology; Biology; Disease; Pathology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000389292,0.00005602315,0.0000879214,0.00007505719,0.00001949434,0.000003376628,0.0000377147,0.00001729567,0.000007948075],"category_scores_gemma":[0.00008084318,0.00003607099,0.00004130767,0.0001614793,0.00009533961,0.0000472168,0.00003360568,0.0001448199,3.933843e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003416501,"about_ca_system_score_gemma":0.00003479089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001143015,"about_ca_topic_score_gemma":0.000001755507,"domain_scores_codex":[0.9994968,0.00003216531,0.0001501037,0.000182937,0.00004042619,0.00009757948],"domain_scores_gemma":[0.9996654,0.0001952101,0.00002181595,0.00007246394,0.00001241364,0.00003268394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002445173,0.00003748498,0.9405146,0.0006487363,0.000001261577,5.252381e-7,0.00002358292,0.00008387202,0.00004675334,0.009482972,0.0005826042,0.04833313],"study_design_scores_gemma":[0.0004360528,0.00006307555,0.9594516,0.00002707536,0.000006579116,0.00001174446,0.000002205862,0.003917085,5.094367e-7,0.01677023,0.0192831,0.00003069766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.890471,0.05401865,0.000280345,0.04830049,0.005913374,0.0007774106,0.00008386582,0.00003021085,0.0001246461],"genre_scores_gemma":[0.9978909,0.001616908,0.000003255034,0.0002818964,0.0001276077,0.00005314279,0.0000188891,0.000004119293,0.000003213493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.10742,"threshold_uncertainty_score":0.1470932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04014545839066578,"score_gpt":0.3487869228036709,"score_spread":0.3086414644130051,"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."}}