{"id":"W1966360598","doi":"10.3722/cadaps.2013.551-565","title":"Determination of Elbow Flexion-Extension Axis Based on Planar and Closed B-Splines","year":2013,"lang":"en","type":"article","venue":"Computer-Aided Design and Applications","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Elbow; Extension (predicate logic); Planar; Elbow flexion; Orthodontics; Computer science; Mathematics; Medicine; Anatomy; Computer graphics (images); Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007229721,0.0004518732,0.0004189702,0.0009179977,0.0002211432,0.000567776,0.0004669646,0.0003658405,0.0009023483],"category_scores_gemma":[0.00275372,0.0003293979,0.0003666904,0.0005033017,0.0004126962,0.0003778767,0.000493705,0.0004169446,0.0003489848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001855634,"about_ca_system_score_gemma":0.0008044458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001655907,"about_ca_topic_score_gemma":0.00216651,"domain_scores_codex":[0.9994251,0.00014172,0.0000330893,0.00007751956,0.0002907459,0.00003195792],"domain_scores_gemma":[0.9991224,0.0003149782,0.0001123018,0.0001093894,0.0003075609,0.00003339416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004783138,0.0001118836,0.009595118,0.0002649213,0.00005138274,0.0001722818,0.0003415349,0.2787234,0.1786225,0.008171927,0.000766705,0.5227002],"study_design_scores_gemma":[0.00001782971,0.0001313071,0.004763967,0.00002380059,0.00001704498,0.0002115812,0.00005085556,0.9531239,0.03681959,0.002187125,0.002611774,0.00004125045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05237142,0.00006953696,0.9461502,0.00001672264,0.000007914896,0.00004162431,0.00003236845,0.0005338109,0.0007762797],"genre_scores_gemma":[0.4697956,0.0001277471,0.5290175,0.000006208795,0.000008578152,0.00006626139,0.0001310922,0.0001518491,0.0006951423],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001655907,"threshold_uncertainty_score":0.003823519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01294396053035613,"score_gpt":0.2304533784096068,"score_spread":0.2175094178792506,"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."}}