{"id":"W4322485392","doi":"10.2139/ssrn.4355299","title":"Finite Element Analysis of Distraction Osteogenesis with a New Extramedullary Internal Distractor","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Craniofacial Disorders and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; Polytechnique Montréal","funders":"","keywords":"Distraction osteogenesis; Distraction; Finite element method; Orthodontics; Medicine; Structural engineering; Computer science; Psychology; Engineering; Neuroscience","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":[0.0003881884,0.0004985079,0.0004745945,0.0005418902,0.0002691844,0.0006292933,0.001079879,0.001300865,0.003227733],"category_scores_gemma":[0.0008422177,0.0003930799,0.000646691,0.0003555754,0.0006901865,0.0002775783,0.0005290105,0.0004200367,0.0004543334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004457131,"about_ca_system_score_gemma":0.0009851243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004982322,"about_ca_topic_score_gemma":0.004482731,"domain_scores_codex":[0.9997774,0.0000355458,0.00001260466,0.00003014222,0.0001163624,0.00002793459],"domain_scores_gemma":[0.9994722,0.00031384,0.00005613437,0.00004012366,0.00009182821,0.00002587605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002752006,0.00008913519,0.002041613,0.0001093926,0.000030987,0.0002949871,0.0001630101,0.9513483,0.02822815,0.002554758,0.0002881482,0.01457619],"study_design_scores_gemma":[0.0000222932,0.00009040645,0.0008509728,0.00001074685,0.00001537105,0.00009930513,0.00006843242,0.9945053,0.00349303,0.0002427862,0.0005890633,0.00001222984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6427284,0.0003229891,0.3400366,0.0003246204,0.0001490023,0.0001181063,0.0004330405,0.0004982487,0.01538892],"genre_scores_gemma":[0.9690263,0.00008070714,0.02659483,0.00003124496,0.000007049912,0.00006980286,0.0001309695,0.00006792523,0.003991241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004982322,"threshold_uncertainty_score":0.01079786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006286610070389133,"score_gpt":0.2492916172295886,"score_spread":0.2430050071591995,"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."}}