{"id":"W2532772016","doi":"10.1016/j.jbiomech.2016.10.019","title":"Main component of soft tissue artifact of the upper-limbs with respect to different functional, daily life and sports movements","year":2016,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scapula; Kinematics; Clavicle; Rotation (mathematics); Motion capture; Computer science; Soft tissue; Humerus; Mathematics; Artificial intelligence; Anatomy; Medicine; Physics; Motion (physics); Surgery","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":[0.0003443366,0.0003253651,0.0002104594,0.0008308685,0.0001883641,0.0004559366,0.0002372801,0.0003213048,0.005022282],"category_scores_gemma":[0.002132708,0.00009099378,0.0003413495,0.0006264296,0.0003082252,0.0002154659,0.0003973843,0.0002880566,0.0005038482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001314698,"about_ca_system_score_gemma":0.0002034278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006507055,"about_ca_topic_score_gemma":0.0007919898,"domain_scores_codex":[0.9996922,0.00004645924,0.00003133643,0.00004810574,0.0001389671,0.00004300376],"domain_scores_gemma":[0.9988739,0.0003954946,0.00019506,0.0001739681,0.0002553666,0.0001061105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004439167,0.0003075869,0.1522926,0.0008477633,0.0003655824,0.007100842,0.001072668,0.002712493,0.5970241,0.0009165003,0.001485175,0.2314355],"study_design_scores_gemma":[0.00003032275,0.0005399393,0.9398055,0.00004745464,0.0002228561,0.0138041,0.0002685424,0.002234992,0.04014787,0.0003704337,0.002501689,0.00002619749],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763796,0.001759183,0.01403428,0.0001027391,0.00008858815,0.000101085,0.0008412491,0.0001894122,0.006503816],"genre_scores_gemma":[0.9959314,0.0002892925,0.001337539,0.00006026939,0.00004208332,0.00002256887,0.0002962529,0.00006522388,0.001955346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005022282,"threshold_uncertainty_score":0.01680124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02350611060588173,"score_gpt":0.27068883342843,"score_spread":0.2471827228225482,"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."}}