{"id":"W4308806081","doi":"10.1016/j.jocd.2022.11.001","title":"Automatic Soft Tissue Detection Failure in DXA: The 4% Fat Error","year":2022,"lang":"en","type":"article","venue":"Journal of Clinical Densitometry","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; University of Calgary","funders":"","keywords":"Medicine; Soft tissue; Pathology","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":[0.00667065,0.0006443163,0.0009195274,0.001747852,0.0006091987,0.001202639,0.0009893883,0.002102892,0.001201358],"category_scores_gemma":[0.02506657,0.0004283881,0.0005670629,0.0009778524,0.0005533292,0.0007394,0.0009275904,0.0007875455,0.0008714761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000530616,"about_ca_system_score_gemma":0.0007211026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004726675,"about_ca_topic_score_gemma":0.004382497,"domain_scores_codex":[0.9957882,0.001105841,0.0003840362,0.0008274869,0.001682427,0.0002120629],"domain_scores_gemma":[0.9794419,0.01433353,0.001469495,0.00175257,0.002758421,0.0002441361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003488593,0.0003949489,0.2106313,0.0004517286,0.0005506283,0.002162911,0.0006980486,0.051406,0.07940722,0.003624236,0.007880634,0.6393038],"study_design_scores_gemma":[0.0001116375,0.0006160741,0.2199524,0.0002246824,0.0005199112,0.007923614,0.0002917517,0.6358558,0.1216574,0.00483312,0.007815083,0.0001985031],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.629196,0.003621247,0.3573008,0.00136963,0.0004584636,0.00008468128,0.0008874447,0.004394225,0.002687627],"genre_scores_gemma":[0.927833,0.0002817807,0.0684962,0.0003807533,0.00007669064,0.00003135011,0.0005628616,0.0005580948,0.001779302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00667065,"threshold_uncertainty_score":0.0352782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03065922261214789,"score_gpt":0.4028190268195757,"score_spread":0.3721598042074278,"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."}}