{"id":"W2172029219","doi":"10.1109/tbme.2005.855711","title":"Personalized Body Segment Parameters From Biplanar Low-Dose Radiography","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Scoliosis diagnosis and treatment","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Radiography; Sagittal plane; Medical imaging; Computed radiography; Biomechanics; Artificial intelligence; Computer science; Computer vision; Nuclear medicine; Medicine; Radiology; Anatomy; Image (mathematics)","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":[],"consensus_categories":[],"category_scores_codex":[0.00007887276,0.0002623934,0.0003702166,0.0004546305,0.00006962895,0.00002328464,0.00008161466,0.0001475197,0.0003935937],"category_scores_gemma":[0.000006378318,0.000222007,0.000353804,0.0004533152,0.00007836721,0.00006516873,8.633514e-7,0.0002791513,0.00009972784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002025256,"about_ca_system_score_gemma":0.00003635953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007005226,"about_ca_topic_score_gemma":0.000003449353,"domain_scores_codex":[0.9984811,0.00001605413,0.0003138342,0.0003580098,0.0004799414,0.0003510803],"domain_scores_gemma":[0.9990391,0.0001500795,0.0000324049,0.0002705636,0.00002091189,0.0004869384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003199022,0.03835054,0.002396072,0.0007622408,0.01669766,0.001943887,0.004052905,0.1029287,0.2363099,0.0003035817,0.01271074,0.5803447],"study_design_scores_gemma":[0.04413695,0.004586493,0.03118385,0.003670077,0.003772989,0.0003424089,0.0004319193,0.3025728,0.4343034,0.00002295683,0.1723471,0.002629058],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7159204,0.000920674,0.2768435,0.004031187,0.0009893858,0.0006441369,0.0001333595,0.0004486942,0.00006872287],"genre_scores_gemma":[0.9892982,0.0005728584,0.008902949,0.0007382566,0.0001740265,0.0001828591,0.00003784068,0.00004016047,0.00005286152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5777157,"threshold_uncertainty_score":0.9053181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01209477455198214,"score_gpt":0.2407371227733933,"score_spread":0.2286423482214112,"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."}}