{"id":"W4220717447","doi":"10.1016/j.clnu.2022.03.016","title":"Assessing dynamic change in muscle during treatment of patients with cancer: Precision testing standards","year":2022,"lang":"en","type":"article","venue":"Clinical Nutrition","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Thigh; Skeletal muscle; Abdomen; Coefficient of variation; Nuclear medicine; Radiology; Anatomy","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":[0.0003714049,0.00008844418,0.0003360141,0.000150592,0.0001434932,0.000009098447,0.00003306335,0.0000451954,0.0001156158],"category_scores_gemma":[0.0001057807,0.0000785214,0.00005494955,0.0003430712,0.00003914043,0.0001114974,0.00002650058,0.0001902273,4.129955e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008334987,"about_ca_system_score_gemma":0.0001070117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008858631,"about_ca_topic_score_gemma":0.00003674852,"domain_scores_codex":[0.9985068,0.0001268093,0.000550046,0.0002442905,0.0003934263,0.000178586],"domain_scores_gemma":[0.9992092,0.0001935617,0.0001916589,0.000134946,0.000181002,0.00008959404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001226493,0.004718695,0.8535142,0.0005400697,0.000009726245,0.00002489404,0.0001632013,0.00000650027,0.000289753,0.000002864403,0.0000158557,0.1394877],"study_design_scores_gemma":[0.01453676,0.002266428,0.9793095,0.001195842,0.00003152992,0.000002884892,0.0001587061,0.0009343766,0.00005460835,0.00009167906,0.001338594,0.00007907654],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972342,0.0005909692,0.0000132714,0.0007933786,0.0001870024,0.0009539843,0.000126875,0.00003487251,0.0000654688],"genre_scores_gemma":[0.9957874,0.0005787939,0.002885842,0.000134699,0.0001187421,0.0003635704,0.000106984,0.00001675628,0.000007142375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1394087,"threshold_uncertainty_score":0.320201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1490536976753364,"score_gpt":0.4808147103243509,"score_spread":0.3317610126490145,"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."}}