{"id":"W2943446591","doi":"10.1038/s41598-019-43379-0","title":"Author Correction: Mechanical Metrics of the Proximal Tibia are Precise and Differentiate Osteoarthritic and Normal Knees: A Finite Element Study","year":2019,"lang":"en","type":"erratum","venue":"Scientific Reports","topic":"Bone fractures and treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Coastal Health Research Institute; University of British Columbia; Vancouver Coastal Health; University of Saskatchewan","funders":"","keywords":"Finite element method; Tibia; Computer science; Element (criminal law); Orthodontics; Information retrieval; Medicine; Anatomy; Structural engineering; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008419969,0.0003696141,0.0008097871,0.0003062486,0.0002924869,0.0001994215,0.0000998074,0.0002838697,0.0001096954],"category_scores_gemma":[0.0005991001,0.0002304512,0.0001867908,0.0005432911,0.0001973456,0.00007982579,0.0003504133,0.000621827,0.000003710453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007474628,"about_ca_system_score_gemma":0.0003598584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004526236,"about_ca_topic_score_gemma":0.0002410686,"domain_scores_codex":[0.9964583,0.0001090518,0.0008343736,0.001075694,0.001176865,0.0003457425],"domain_scores_gemma":[0.9971821,0.00009213909,0.0009778157,0.001257792,0.0002940422,0.0001960731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003962041,0.004165222,0.2546333,0.001776491,0.001181627,0.00198175,0.001897383,0.000006550323,0.0002453205,0.000006952692,0.7153352,0.01837406],"study_design_scores_gemma":[0.01041641,0.008112723,0.6070212,0.009239069,0.01053946,0.004812463,0.003461062,0.002523308,0.004332622,0.0009637179,0.3366694,0.001908604],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.831513,0.004148956,0.00002477244,0.0002551018,0.1571065,0.005633644,0.00006405929,0.00005523383,0.001198685],"genre_scores_gemma":[0.7702374,0.00003500206,0.000035356,0.00001549325,0.0001776561,0.00005978889,0.0001370303,0.0000334382,0.2292689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3786658,"threshold_uncertainty_score":0.9397526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01735898056772007,"score_gpt":0.2677945852788717,"score_spread":0.2504356047111517,"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."}}