{"id":"W1578468222","doi":"10.1007/11566465_57","title":"Computer–Assisted Deformity Correction Using the Ilizarov Method","year":2005,"lang":"en","type":"article","venue":"Lecture notes in computer science","topic":"Bone fractures and treatments","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Frame (networking); Fixation (population genetics); Flexibility (engineering); Rotation (mathematics); Imaging phantom; Computer vision; Orthodontics; Artificial intelligence; Medicine; Mathematics; Nuclear medicine","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":[0.0008286968,0.0008014422,0.0006741346,0.001748508,0.000493822,0.0008397327,0.001102448,0.0008273997,0.008309022],"category_scores_gemma":[0.0009129385,0.0005675777,0.0009789229,0.0009586955,0.0006949685,0.0007154063,0.001133124,0.00139969,0.001367446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002320855,"about_ca_system_score_gemma":0.0008726701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002331072,"about_ca_topic_score_gemma":0.003364706,"domain_scores_codex":[0.9992428,0.00007655711,0.00008333123,0.0001656625,0.0003401742,0.00009143804],"domain_scores_gemma":[0.9994794,0.0001403703,0.00008973425,0.0001631322,0.00007573848,0.00005167586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001785335,0.0003932594,0.005724896,0.0004167449,0.0002441291,0.001119892,0.0002159126,0.01226088,0.135239,0.002257741,0.004667001,0.8356752],"study_design_scores_gemma":[0.002518762,0.006533087,0.09883344,0.0008775054,0.001549527,0.186939,0.0005097565,0.3338973,0.2416603,0.005496462,0.119559,0.001625772],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1170712,0.002440486,0.8675351,0.000392881,0.0004448094,0.0001335385,0.0001810621,0.003455261,0.008345716],"genre_scores_gemma":[0.6280928,0.001194369,0.3619265,0.000181675,0.0001874579,0.00007462193,0.0002211728,0.0006447071,0.007476683],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008309022,"threshold_uncertainty_score":0.02779651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02944477355673643,"score_gpt":0.3323693397904917,"score_spread":0.3029245662337553,"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."}}