{"id":"W2773377804","doi":"10.1080/23335432.2017.1405741","title":"Scapular kinematic reconstruction – segmental optimization, multibody optimization with open-loop or closed-loop chains: which one should be preferred?","year":2017,"lang":"en","type":"article","venue":"International Biomechanics","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kinematics; Scapula; Ellipsoid; Multibody system; Computer science; Kinematic chain; Anatomy; Geology; Physics; Medicine; Geodesy","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":[0.0006938309,0.0004772143,0.0005079103,0.000322328,0.000180046,0.0004603605,0.0004977863,0.0005062406,0.002296087],"category_scores_gemma":[0.001757112,0.000277346,0.0004434562,0.0002553212,0.000363953,0.0006593852,0.0004744676,0.0003114648,0.0003591426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001671613,"about_ca_system_score_gemma":0.0005361593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001658991,"about_ca_topic_score_gemma":0.002551479,"domain_scores_codex":[0.9998121,0.00006702817,0.00001343565,0.00004186655,0.00004661936,0.00001894996],"domain_scores_gemma":[0.9995556,0.000242764,0.00006418475,0.00004814038,0.00006871652,0.00002044443],"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":[0.0002723296,0.0001530261,0.003731719,0.0003427562,0.0001004889,0.00006756206,0.0001461795,0.8196909,0.01433538,0.002561005,0.0003871858,0.1582115],"study_design_scores_gemma":[0.0000327579,0.0001983191,0.00126561,0.00004812822,0.00003242904,0.00004033373,0.00005830289,0.9919436,0.003985201,0.001320458,0.001056487,0.00001839087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1193271,0.0006882709,0.8766116,0.0001515767,0.00003139762,0.00008097656,0.00004686792,0.0003148918,0.002747286],"genre_scores_gemma":[0.8078101,0.0004317646,0.1900973,0.00007088831,0.00002033209,0.0001458172,0.0001096426,0.0001848697,0.001129265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002296087,"threshold_uncertainty_score":0.007681191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08777003262563038,"score_gpt":0.3568587480675387,"score_spread":0.2690887154419083,"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."}}