{"id":"W3161012277","doi":"10.1111/dmcn.14927","title":"Quantitative magnetic resonance imaging of spinal cord microstructure in adults with cerebral palsy","year":2021,"lang":"en","type":"letter","venue":"Developmental Medicine & Child Neurology","topic":"Cerebral Palsy and Movement Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Magnetic resonance imaging; Cerebral palsy; Spinal cord; Medicine; Functional magnetic resonance imaging; Nuclear magnetic resonance; Radiology; Physical medicine and rehabilitation; Physics; Psychiatry","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":[0.001727208,0.0004622893,0.0009225515,0.0009199568,0.001386962,0.001306406,0.001091239,0.01322697,0.002430353],"category_scores_gemma":[0.01735167,0.0003133218,0.0003727267,0.000895715,0.001139256,0.001185069,0.0004214361,0.005963092,0.0016271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001868978,"about_ca_system_score_gemma":0.001551542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008707078,"about_ca_topic_score_gemma":0.01313582,"domain_scores_codex":[0.9987191,0.0004280598,0.0002117149,0.0001796116,0.0003517429,0.0001098365],"domain_scores_gemma":[0.9938077,0.003737675,0.0003692964,0.0001392917,0.001644838,0.0003011541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002741352,0.0000534693,0.01508572,0.0002543097,0.00006970645,0.009722376,0.0003350319,0.0001147891,0.0006812962,0.001286286,0.9344897,0.03763324],"study_design_scores_gemma":[0.001558426,0.0007481158,0.1176599,0.005307757,0.0007514007,0.08632356,0.003772028,0.003666403,0.00277766,0.03287913,0.7442068,0.0003487193],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.007602205,0.009372148,0.0002950752,0.953083,0.02362351,0.00001814188,0.0002718119,0.00005603099,0.005678047],"genre_scores_gemma":[0.1009642,0.01102193,0.0008061338,0.6829174,0.1968973,0.0001133843,0.0002627696,0.00007608371,0.006940694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01322697,"threshold_uncertainty_score":0.01731277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139177815017067,"score_gpt":0.2506299725482131,"score_spread":0.2392381943980424,"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."}}