{"id":"W4284707901","doi":"10.3389/fonc.2022.812777","title":"Rapid Standardized CT-Based Method to Determine Lean Body Mass SUV for PET—A Significant Improvement Over Prediction Equations","year":2022,"lang":"en","type":"article","venue":"Frontiers in Oncology","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Lean body mass; Nuclear medicine; Medicine; Body weight; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001799487,0.0001389549,0.000505981,0.0005198758,0.0002494061,0.000007871621,0.00010182,0.00004233122,0.0005233975],"category_scores_gemma":[0.0001946131,0.0001496151,0.0001088857,0.0003017038,0.00003679871,0.0000327491,0.00003984822,0.0003189117,0.000001793122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00225794,"about_ca_system_score_gemma":0.0006874596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003097709,"about_ca_topic_score_gemma":0.00001243245,"domain_scores_codex":[0.9981276,0.00022472,0.0005554678,0.0003799099,0.0002983036,0.0004140429],"domain_scores_gemma":[0.9990257,0.0003012324,0.0001478728,0.0002289103,0.00009293249,0.0002033646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01259902,0.002029094,0.02048878,0.0007037618,0.0002198661,0.0003953123,0.000755175,0.00203984,0.07204538,0.0008449793,0.5673617,0.3205171],"study_design_scores_gemma":[0.01787377,0.007289929,0.001280518,0.00004276874,0.0001433892,0.00001952812,0.001347498,0.1017622,0.004432695,0.001283209,0.8643203,0.0002041675],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01163718,0.0001389434,0.9682141,0.01286578,0.002822021,0.003145058,0.00048191,0.00009404313,0.0006009788],"genre_scores_gemma":[0.2105549,0.00004032412,0.7677082,0.01540657,0.000408135,0.004247334,0.0005242822,0.00006195857,0.00104826],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.320313,"threshold_uncertainty_score":0.6101124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04387945719392943,"score_gpt":0.3769349409984817,"score_spread":0.3330554838045523,"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."}}