{"id":"W2892626660","doi":"10.1002/mus.26352","title":"Magnetic resonance imaging of the anterior compartment of the lower leg is a biomarker for weakness, disability, and impaired gait in childhood Charcot–Marie–Tooth disease","year":2018,"lang":"en","type":"article","venue":"Muscle & Nerve","topic":"Hereditary Neurological Disorders","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council Canada; Muscular Dystrophy Association","keywords":"Magnetic resonance imaging; Gait; Medicine; Weakness; Physical medicine and rehabilitation; Muscle weakness; Intramuscular fat; Gait analysis; Ataxic Gait; Physical therapy; Internal medicine; Anatomy; Radiology; Ataxia","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006174193,0.0003844196,0.0002519565,0.0006562183,0.0001795309,0.0003021859,0.0001803472,0.0003066451,0.001028727],"category_scores_gemma":[0.001260806,0.0001781359,0.000126079,0.0003103991,0.0002954305,0.0002363818,0.0002358055,0.0002222279,0.0001328021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002017399,"about_ca_system_score_gemma":0.0001527999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001409738,"about_ca_topic_score_gemma":0.002932674,"domain_scores_codex":[0.9997196,0.00008770013,0.00002972435,0.00005665014,0.0000753263,0.00003106822],"domain_scores_gemma":[0.9990855,0.0002195697,0.0004969386,0.00001984344,0.00009226706,0.00008590309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000277456,0.00007590267,0.9780231,0.00006218328,0.00005057809,0.0007715762,0.0001259445,0.0001242052,0.01524827,0.0000162394,0.0001071693,0.005117407],"study_design_scores_gemma":[0.000006748738,0.0002076934,0.9950263,0.00001589303,0.00002394475,0.003166118,0.00007200967,0.0001339863,0.001241173,0.000009301879,0.00009395479,0.000002827715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993452,0.0002604069,0.0001366993,0.00001856174,0.000001705251,0.000005136322,0.00003716927,0.000003914083,0.0001911833],"genre_scores_gemma":[0.9987559,0.000219896,0.000754555,0.00002052798,0.00000701648,0.00001148828,0.00007117338,0.000002687242,0.0001567447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001409738,"threshold_uncertainty_score":0.003441393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02160309575491931,"score_gpt":0.2523508876357187,"score_spread":0.2307477918807994,"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."}}