{"id":"W4294219396","doi":"10.1002/jcsm.13080","title":"Body composition from single versus multi‐slice abdominal computed tomography: Concordance and associations with colorectal cancer survival","year":2022,"lang":"en","type":"article","venue":"Journal of Cachexia Sarcopenia and Muscle","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Cancer Institute; National Institute on Aging; National Institutes of Health","keywords":"Medicine; Concordance; Colorectal cancer; Hazard ratio; Adipose tissue; Concordance correlation coefficient; Nuclear medicine; Cancer; Confidence interval; Internal medicine","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":[0.001719117,0.0002306406,0.0002655732,0.001135294,0.0002118464,0.0008272759,0.0003393089,0.0002895465,0.000904395],"category_scores_gemma":[0.007246853,0.0002275327,0.0003437939,0.001001218,0.0002822248,0.0003294057,0.0006082266,0.0003100968,0.0001722119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002057697,"about_ca_system_score_gemma":0.0001866928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003266525,"about_ca_topic_score_gemma":0.006321693,"domain_scores_codex":[0.9989246,0.0002931369,0.0001424871,0.0003299581,0.0002478173,0.00006203077],"domain_scores_gemma":[0.9933762,0.002264042,0.002508249,0.000588282,0.001016325,0.0002469653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009474233,0.000005620247,0.996918,0.00002067665,0.00007893115,0.00001924532,0.00006484136,0.0001869554,0.0003278833,0.00001338957,0.000074358,0.002195343],"study_design_scores_gemma":[0.000002826894,0.0000181728,0.99787,0.00001289109,0.00003686879,0.0001328274,0.00009460029,0.001415963,0.0002565638,0.0000381367,0.0001172633,0.000003820828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976022,0.0003833703,0.0008198475,0.00003580666,0.000009822681,0.000007183706,0.0005635365,0.00002319794,0.0005550207],"genre_scores_gemma":[0.9990846,0.0000614838,0.0003966264,0.000007717237,0.000007512029,0.000004669225,0.0003667261,0.000007862634,0.00006290087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003266525,"threshold_uncertainty_score":0.009091675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04884030392146302,"score_gpt":0.3266371415829943,"score_spread":0.2777968376615313,"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."}}