{"id":"W1795368266","doi":"","title":"DIFFERENCE IN MICROMOTION PREDICTED BY STATIC AND DYNAMIC LOAD CASES","year":2016,"lang":"en","type":"article","venue":"Espace ÉTS (ETS)","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Finite element method; Initial stability; Materials science; Isotropy; Dynamic loading; Implant; Homogeneous; Biomedical engineering; Stair climbing; Biomechanics; Stiffness; Structural engineering; Composite material; Orthodontics; Mathematics; Surgery; Engineering; Physics; Medicine","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":[0.00009873791,0.0001359983,0.0002045123,0.00007022497,0.0000390701,0.0000135028,0.00003111014,0.00006400359,0.0001725248],"category_scores_gemma":[0.0001920117,0.00008531697,0.00002125942,0.00008629511,0.0001068642,0.00007403496,0.00003063419,0.00009433927,0.00002528326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007668677,"about_ca_system_score_gemma":0.00006770889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008615607,"about_ca_topic_score_gemma":0.0004436792,"domain_scores_codex":[0.9991055,0.00004206367,0.0001624928,0.0002480344,0.0001890288,0.000252938],"domain_scores_gemma":[0.9994938,0.0001319709,0.00005471636,0.0001574723,0.00003142203,0.0001306226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006397015,0.0005712738,0.463824,0.0002566839,0.0000678886,0.00093526,0.001604912,4.42282e-7,0.1915619,0.00006965043,0.01028145,0.3301868],"study_design_scores_gemma":[0.006026858,0.0007827079,0.9758153,0.001009134,0.00005739408,0.0008780796,0.0002473858,0.0004484119,0.001829347,0.00004762619,0.01257371,0.0002840686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958681,0.000305369,0.0004030303,0.002718479,0.0001223162,0.0002290269,0.0001801597,0.00004763932,0.0001259004],"genre_scores_gemma":[0.9938423,0.0004486666,0.00009907796,0.0001570895,0.00002699274,0.000008251082,0.00002388471,0.00001511276,0.005378611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5119913,"threshold_uncertainty_score":0.3479125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008122800501696498,"score_gpt":0.2442896320463865,"score_spread":0.23616683154469,"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."}}