{"id":"W2159492832","doi":"10.1123/jab.2013-0310","title":"Robustness and Reproducibility of a Glenoid-centered Scapular Coordinate System Derived from Low-dose Stereoradiography Analysis","year":2014,"lang":"en","type":"article","venue":"Journal of Applied Biomechanics","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Coordinate system; Reproducibility; Robustness (evolution); Scapula; Kinematics; Computer science; Orthodontics; Medicine; Mathematics; Artificial intelligence; Anatomy; Physics; 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":[{"model":"gemma","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00138562,0.0002299862,0.001108765,0.0006513594,0.00005839193,0.00002419379,0.0001514281,0.0001411181,0.00001614209],"category_scores_gemma":[0.00004699359,0.0001725994,0.0004191489,0.000988021,0.00006761962,0.00006006178,0.00006399857,0.0001797839,7.561258e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008482322,"about_ca_system_score_gemma":0.00004374728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002889866,"about_ca_topic_score_gemma":0.00000422277,"domain_scores_codex":[0.9978333,0.00008657678,0.0008962126,0.0005747638,0.0004067213,0.00020243],"domain_scores_gemma":[0.9974954,0.00006976195,0.000863375,0.001072208,0.0002717689,0.0002274988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008461787,0.002146425,0.00875597,0.001167426,0.01424682,0.0001621497,0.0006609862,0.0002555323,0.930977,0.0008186745,0.00008172377,0.03226555],"study_design_scores_gemma":[0.01206978,0.002039706,0.01729943,0.0004782701,0.02022473,0.0001828718,0.002063171,0.02118928,0.9229084,0.0009709311,0.0001273673,0.0004460095],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829271,0.0004169587,0.01581129,0.0001253981,0.0002358588,0.0003398095,0.00004091515,0.00002269487,0.00007996361],"genre_scores_gemma":[0.9952074,0.00006399403,0.004515838,0.00004359198,0.0001134326,0.000005369443,0.00002572006,0.00001991277,0.00000472778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03181954,"threshold_uncertainty_score":0.70384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01551950674965165,"score_gpt":0.2521039528725454,"score_spread":0.2365844461228938,"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."}}