{"id":"W2583928772","doi":"10.1016/j.jbiomech.2017.01.031","title":"Effect of various upper limb multibody models on soft tissue artefact correction: A case study","year":2017,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal","funders":"Fonds National de la Recherche Luxembourg","keywords":"Kinematics; Scapula; Mean squared error; Joint (building); Computer science; Biomechanics; Mathematics; Engineering; Structural engineering; Medicine; Anatomy; Statistics","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":[0.0008916071,0.001926934,0.0007704393,0.002462738,0.001663963,0.001400045,0.001719556,0.00405677,0.003716617],"category_scores_gemma":[0.006916181,0.0008433103,0.002068809,0.001334834,0.001856295,0.001090251,0.001853717,0.002153416,0.001077765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006953484,"about_ca_system_score_gemma":0.0005313985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008849321,"about_ca_topic_score_gemma":0.001769285,"domain_scores_codex":[0.998365,0.0003411772,0.0002047773,0.0002145166,0.0006492492,0.000225219],"domain_scores_gemma":[0.9960675,0.001880777,0.0006733468,0.0008677632,0.0002207711,0.0002897606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000597113,0.0005588703,0.01275033,0.0002463481,0.0001322113,0.9390418,0.001356605,0.003125083,0.01787081,0.0005359458,0.00036132,0.02342358],"study_design_scores_gemma":[0.00003280192,0.0004180503,0.003620726,0.00003942347,0.0001323671,0.9792427,0.0003259985,0.00370461,0.01097505,0.0001937804,0.001275305,0.00003917689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653856,0.001894392,0.02733811,0.0006079442,0.0001919488,0.0001560912,0.0001202363,0.0003218326,0.003983822],"genre_scores_gemma":[0.9925208,0.0004171533,0.004918837,0.0001424098,0.0000476371,0.00001913753,0.00003479516,0.0001205149,0.001778686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00405677,"threshold_uncertainty_score":0.01243335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03142378094695285,"score_gpt":0.3731050661531645,"score_spread":0.3416812852062117,"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."}}