{"id":"W4389673820","doi":"10.1080/21681163.2023.2282074","title":"Development of a single-vertebra image-based technique to quantify shoulder kinematics using four-dimensional computed tomography","year":2023,"lang":"en","type":"article","venue":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Lawson Health Research Institute; St Joseph's Health Care; Western University","funders":"","keywords":"Torso; Kinematics; Vertebra; Biomechanics; Coordinate system; Tomography; Computer science; Mathematics; Artificial intelligence; Computer vision; Anatomy; Medicine; Radiology; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001097135,0.0002716387,0.000484508,0.00180864,0.00006202854,0.00003543268,0.0001009925,0.0001331129,0.000007624976],"category_scores_gemma":[0.00009601203,0.0002498063,0.0000831588,0.002471923,0.00005070078,0.00006877074,0.0001757618,0.0001286087,9.905038e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009935613,"about_ca_system_score_gemma":0.00009825496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005220293,"about_ca_topic_score_gemma":1.748257e-7,"domain_scores_codex":[0.9980622,0.00008376494,0.0007025178,0.0004136361,0.0004018657,0.000336049],"domain_scores_gemma":[0.9991364,0.0001853451,0.0001091421,0.0002079853,0.0001436546,0.0002174475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000370407,0.0003508006,0.0001185401,0.0006402525,0.00007147014,0.00005219139,0.0002186375,0.001068621,0.9586408,0.0002766852,0.00003800777,0.03848696],"study_design_scores_gemma":[0.0006838778,0.0001321643,0.0006300006,0.0007368551,0.0000502433,0.00003828068,0.00001358433,0.7676527,0.2294734,0.00008318327,0.0003086904,0.0001969953],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06633972,0.00004977631,0.9322935,0.0001686179,0.0003694481,0.000529236,0.000006373959,0.0002422197,0.000001100742],"genre_scores_gemma":[0.1087865,0.000002065338,0.890775,0.0001842468,0.00005610776,0.00003142815,0.0001211988,0.00004254411,9.030298e-7],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.766584,"threshold_uncertainty_score":0.9999954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06673209876754169,"score_gpt":0.3934475018318561,"score_spread":0.3267154030643145,"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."}}