{"id":"W4408218356","doi":"10.46563/1560-9561-2025-28-1-54-60","title":"Correction of radius deformity using guided-growth technology in children with multiple hereditary exostoses","year":2025,"lang":"en","type":"article","venue":"Russian Pediatric Journal","topic":"Bone Tumor Diagnosis and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children’s Health Research Institute","funders":"","keywords":"Hereditary multiple exostoses; Deformity; RADIUS; Medicine; Orthodontics; Computer science; Surgery","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":[0.0001653742,0.0003336228,0.0003487756,0.000540976,0.0002575486,0.0001269556,0.000148255,0.0001804824,0.0009008234],"category_scores_gemma":[0.0004901572,0.000092054,0.0002693163,0.0002557749,0.0003090329,0.0001304153,0.0002364729,0.0001827222,0.0001304001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001913543,"about_ca_system_score_gemma":0.0002696058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000936046,"about_ca_topic_score_gemma":0.001552089,"domain_scores_codex":[0.9998239,0.00003944735,0.00001439086,0.00004373817,0.00004093981,0.00003762563],"domain_scores_gemma":[0.9998227,0.00004407401,0.00006615459,0.00001534632,0.00001152811,0.00004022682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002156127,0.0007691198,0.8412389,0.000304885,0.000118972,0.02189831,0.0004038747,0.001267534,0.04027166,0.0001725491,0.0004546076,0.09094349],"study_design_scores_gemma":[0.000152707,0.008494663,0.8669401,0.00005743067,0.00009760477,0.1069015,0.0005584607,0.0009133595,0.01370535,0.00008137634,0.002076738,0.00002058185],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988242,0.0005598852,0.0003380401,0.00001385449,0.000004667323,0.000007382302,0.00003454518,0.00001024071,0.0002072133],"genre_scores_gemma":[0.9987164,0.0004115304,0.0006332161,0.000009749814,0.000008404288,0.00000926242,0.00006286084,0.000002149472,0.0001464409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000936046,"threshold_uncertainty_score":0.003013611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008468984962743724,"score_gpt":0.2537666922920527,"score_spread":0.2452977073293089,"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."}}