{"id":"W2085741847","doi":"10.1002/rcs.211","title":"Computer‐assisted distraction osteogenesis by Ilizarov's method","year":2008,"lang":"en","type":"article","venue":"International Journal of Medical Robotics and Computer Assisted Surgery","topic":"Bone fractures and treatments","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston General Hospital; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Distraction osteogenesis; Computer science; Imaging phantom; Radiography; Ilizarov Technique; Orthodontics; Fixation (population genetics); Frame (networking); External fixator; Distraction; Deformity; Medicine; Nuclear medicine; Surgery","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005727526,0.0002092317,0.0006099862,0.0002350646,0.00008827288,0.0000613911,0.0001968332,0.000214882,0.0001344867],"category_scores_gemma":[0.0001163582,0.000158581,0.0003565097,0.000121732,0.0001000266,0.0001267189,0.00009122593,0.0004061918,0.000004466499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001086706,"about_ca_system_score_gemma":0.0002899094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005034623,"about_ca_topic_score_gemma":0.000003224752,"domain_scores_codex":[0.9968336,0.0001286503,0.0008467027,0.0002286037,0.001757022,0.0002054678],"domain_scores_gemma":[0.9975988,0.0007773123,0.0004760746,0.000130105,0.0004943333,0.0005233362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006387662,0.002141471,0.06508797,0.00005205075,0.002491257,0.009681855,0.0001112399,0.0003121319,0.000208596,0.00008717145,0.07794987,0.8412376],"study_design_scores_gemma":[0.005593679,0.0007053528,0.8130358,0.001252517,0.0005188122,0.07748412,0.00003656516,0.06619836,0.0003921822,0.00007690042,0.03423107,0.0004746134],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2518989,0.001331467,0.7236895,0.01811012,0.004681791,0.0001214465,0.00002727298,0.00003974762,0.00009977768],"genre_scores_gemma":[0.9461526,0.001966096,0.04682392,0.002705921,0.002040852,0.000002218335,0.000146529,0.00003320932,0.0001286217],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.840763,"threshold_uncertainty_score":0.6466745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0345979017773729,"score_gpt":0.3209184577691738,"score_spread":0.286320555991801,"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."}}