{"id":"W4404104551","doi":"10.1007/s10439-024-03645-3","title":"The Effect of Low-Dose CT Protocols on Shoulder Model-Based Tracking accuracy Using Biplane Videoradiography","year":2024,"lang":"en","type":"article","venue":"Annals of Biomedical Engineering","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"National Institutes of Health; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Foundation for Physical Therapy","keywords":"Biplane; Tracking (education); Computer science; Nuclear medicine; Mathematics; Medicine; Engineering; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004909427,0.0005089391,0.0004939592,0.0007030164,0.0002618109,0.001329018,0.0004877081,0.0008474995,0.001005452],"category_scores_gemma":[0.04372483,0.0005132755,0.0003445013,0.0005971555,0.0004821667,0.0009906853,0.0006090899,0.0006610089,0.0002356644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004743718,"about_ca_system_score_gemma":0.0005326726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002160494,"about_ca_topic_score_gemma":0.001786775,"domain_scores_codex":[0.997629,0.001253973,0.000310664,0.0002915842,0.0004381227,0.00007675142],"domain_scores_gemma":[0.9635825,0.03033978,0.001901412,0.00199396,0.001971353,0.0002109476],"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":[0.03529742,0.001003545,0.0660955,0.001810057,0.001060255,0.0003691721,0.001804644,0.0962708,0.4101414,0.0006447735,0.001022952,0.3844795],"study_design_scores_gemma":[0.0007181559,0.01941826,0.2658943,0.0003999006,0.003693874,0.002417204,0.0007365616,0.2537805,0.447752,0.0009744734,0.00385081,0.0003638842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9472722,0.004549786,0.04572975,0.0001655816,0.000145388,0.00009640503,0.0002036555,0.0004300304,0.001407311],"genre_scores_gemma":[0.9838378,0.0006687996,0.01440779,0.00009628267,0.00002595405,0.00003802354,0.0001733681,0.0003533209,0.0003987945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004909427,"threshold_uncertainty_score":0.02596384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0401417682321399,"score_gpt":0.3731173793338849,"score_spread":0.332975611101745,"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."}}