{"id":"W2734110340","doi":"10.1016/j.medengphy.2017.06.018","title":"Kinematic behavior of a customized surface-guided knee implant during simulated knee-bending","year":2017,"lang":"en","type":"article","venue":"Medical Engineering & Physics","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Orthopaedic Innovation Centre; Concordia Hospital; University of Manitoba","funders":"","keywords":"Squatting position; Kinematics; Condyle; Rotation (mathematics); Translation (biology); Orthodontics; Materials science; Medicine; Biomedical engineering; Anatomy; Mathematics; Geometry; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002617583,0.0003251982,0.0009158252,0.00007727494,0.0001411477,0.0000348996,0.0002532781,0.0001804142,0.0001947349],"category_scores_gemma":[0.001309528,0.0002864233,0.0002534648,0.0001282937,0.0001346813,0.0001693027,0.0002140629,0.0004780696,0.00005088475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009318317,"about_ca_system_score_gemma":0.0001077807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008527266,"about_ca_topic_score_gemma":0.000002184917,"domain_scores_codex":[0.9976411,0.00001820241,0.0006477807,0.0003021027,0.000881525,0.0005092164],"domain_scores_gemma":[0.9982014,0.0001979555,0.0002524446,0.0008304729,0.00008582692,0.0004318635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001074697,0.002643111,0.1464661,0.00932319,0.002603679,0.005578482,0.002727521,0.1378242,0.6692452,0.002499031,0.0008101761,0.01920455],"study_design_scores_gemma":[0.03732498,0.0005878838,0.3673461,0.004874552,0.001508232,0.001141359,0.00009456947,0.5091726,0.07589838,0.00005365484,0.0005389199,0.001458733],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967768,0.00005781168,0.001391055,0.0002121371,0.0006475095,0.0004900448,0.00001237046,0.0002499644,0.0001623255],"genre_scores_gemma":[0.9977463,0.000009371052,0.00157537,0.00002906968,0.0002663637,0.00001371182,0.00001748179,0.00008096798,0.0002613081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5933469,"threshold_uncertainty_score":0.9999588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720750408027153,"score_gpt":0.2853345308106041,"score_spread":0.2681270267303326,"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."}}