{"id":"W2566589478","doi":"","title":"COMPUTER-ASSISTED DISTRACTION OSTEOGENESIS USING THE TAYLOR FRAME: INITIAL CLINICAL EXPERIENCES","year":2008,"lang":"en","type":"article","venue":"","topic":"Bone fractures and treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Deformity; Distraction osteogenesis; Orthodontics; Tibia; Radiography; Frame (networking); Surgery; Distraction; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001882654,0.00208221,0.0008106677,0.001506392,0.0008822586,0.0007755573,0.001671155,0.002442655,0.002223941],"category_scores_gemma":[0.003777435,0.0005705696,0.0008602124,0.001267413,0.001595736,0.0007314898,0.0008461105,0.001497076,0.0008973518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006740235,"about_ca_system_score_gemma":0.0004582882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001407766,"about_ca_topic_score_gemma":0.002543822,"domain_scores_codex":[0.9984648,0.000518589,0.0002462895,0.0001940755,0.0003446053,0.0002317151],"domain_scores_gemma":[0.9986342,0.0006613614,0.00015075,0.0001856744,0.0001328305,0.0002351702],"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":[0.002785905,0.04018431,0.05911588,0.001705273,0.0005855867,0.1198806,0.01710885,0.016357,0.08888347,0.002270982,0.005344583,0.6457776],"study_design_scores_gemma":[0.002434942,0.08004563,0.1786298,0.0009049509,0.0004651496,0.5503904,0.00467374,0.03112913,0.08701317,0.002734991,0.06063167,0.0009464594],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706544,0.004550701,0.01695465,0.0005931841,0.0001289453,0.0004442663,0.0001693705,0.0002392072,0.006265333],"genre_scores_gemma":[0.9682274,0.005397202,0.0211065,0.0005515512,0.0002066866,0.0002202207,0.0003162149,0.0001110073,0.003863172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002442655,"threshold_uncertainty_score":0.009956539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1298110572650624,"score_gpt":0.406489812559432,"score_spread":0.2766787552943696,"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."}}