{"id":"W4409823778","doi":"10.1002/jcsm.13815","title":"Myo‐Guide: A Machine Learning‐Based Web Application for Neuromuscular Disease Diagnosis With MRI","year":2025,"lang":"en","type":"article","venue":"Journal of Cachexia Sarcopenia and Muscle","topic":"Hereditary Neurological Disorders","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; Children's Hospital of Eastern Ontario","funders":"NIHR Newcastle Biomedical Research Centre; Muscular Dystrophy UK; Department of Health and Social Care; Jain Foundation; Newcastle University; National Institute for Health and Care Research","keywords":"Medicine; Sarcopenia; Machine learning; Muscle weakness; Magnetic resonance imaging; Limiting; Disease; Muscle disorder; Artificial intelligence; Bioinformatics; Pathology; Computer science; Radiology; Internal medicine; Biology","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":[0.0002794382,0.000177252,0.0002766814,0.0001547763,0.0002227404,0.00006523982,0.0002871423,0.00005259676,0.00003382452],"category_scores_gemma":[0.001419084,0.0001300039,0.0001387468,0.0003288068,0.0001254506,0.0002064957,0.00005135709,0.0003033934,0.000003448127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002297045,"about_ca_system_score_gemma":0.0002133147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009909852,"about_ca_topic_score_gemma":0.00002146657,"domain_scores_codex":[0.9985615,0.000202285,0.0003686496,0.0003407923,0.000290914,0.0002358858],"domain_scores_gemma":[0.9984942,0.0007447585,0.0002292541,0.0001975537,0.0001045116,0.0002296877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01035214,0.003996405,0.1923973,0.001588791,0.000203822,0.001165122,0.0002825401,0.03375817,0.5727687,0.00407868,0.02303739,0.156371],"study_design_scores_gemma":[0.007574241,0.002254572,0.09848005,0.0001767663,0.0004180212,0.00003407559,0.00004052111,0.04722979,0.01462262,0.001358784,0.8273149,0.000495702],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666014,0.001047624,0.01321481,0.01701738,0.0002094475,0.001087701,0.00004434837,0.00006494689,0.0007123199],"genre_scores_gemma":[0.9954298,0.0003714583,0.0004387092,0.003423536,0.00005013439,0.0001027998,0.000003322217,0.00002205528,0.0001582274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8042775,"threshold_uncertainty_score":0.5301405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349700335153997,"score_gpt":0.2636985731787369,"score_spread":0.2502015698271969,"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."}}