{"id":"W4401345613","doi":"10.1080/10255842.2024.2384481","title":"OpenSim Moco tracking simulations efficiently replicate predictive simulation results across morphologically diverse shoulder models","year":2024,"lang":"en","type":"article","venue":"Computer Methods in Biomechanics & Biomedical Engineering","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Canadian Institutes of Health Research","keywords":"Replicate; Tracking (education); Computer science; Artificial intelligence; Psychology; Mathematics; Statistics","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":[0.0006793779,0.0005880749,0.0005300663,0.0005041624,0.0005199565,0.0009384311,0.001206081,0.000891972,0.004483283],"category_scores_gemma":[0.004752488,0.0003007304,0.0004957691,0.0003496977,0.000539465,0.0006787798,0.0008369878,0.0007215329,0.0008538374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004337766,"about_ca_system_score_gemma":0.001444926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007626913,"about_ca_topic_score_gemma":0.007212829,"domain_scores_codex":[0.9998073,0.00003019244,0.0000159838,0.00003353032,0.0000806328,0.00003229327],"domain_scores_gemma":[0.9987189,0.0007020979,0.0000960461,0.0001720422,0.0002463662,0.00006458724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001422042,0.0001149291,0.002992902,0.0001807857,0.00003906366,0.0001073261,0.0002032246,0.9607604,0.007047218,0.003854959,0.001999849,0.02255715],"study_design_scores_gemma":[0.00002118746,0.00005204652,0.0005180551,0.00002166419,0.000007608995,0.00003342764,0.00003256205,0.9940888,0.002695477,0.0009953383,0.001521743,0.00001216964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.473523,0.000231927,0.480534,0.0004308125,0.0002147242,0.0003323887,0.001844234,0.009859461,0.03302942],"genre_scores_gemma":[0.9484187,0.0001092665,0.04763903,0.00008615912,0.00001640356,0.0003613713,0.001035346,0.0006679857,0.001665758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007626913,"threshold_uncertainty_score":0.01516503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09799399927081134,"score_gpt":0.4336716847052269,"score_spread":0.3356776854344156,"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."}}