{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002629877,0.0001055582,0.0003516932,0.0001181842,0.0003359432,0.00003593136,0.00005375222,0.00003419264,0.00008906749],"category_scores_gemma":[0.00001455288,0.00009570023,0.00005274653,0.0001872521,0.00007508935,0.0001196672,0.00004098694,0.0003728391,3.798682e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000231455,"about_ca_system_score_gemma":0.0001539162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000461889,"about_ca_topic_score_gemma":0.0002300172,"domain_scores_codex":[0.9989406,0.0001252145,0.0003054682,0.0001407447,0.000325283,0.0001626145],"domain_scores_gemma":[0.9990364,0.0001996281,0.0003187787,0.00005443728,0.0001963749,0.0001943315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02279585,0.002569426,0.411017,0.0002294735,0.001121244,0.0005491111,0.004230959,0.0001298356,0.514172,0.0002534791,0.002970292,0.03996137],"study_design_scores_gemma":[0.02040964,0.002201792,0.9652432,0.0002245959,0.0003674001,0.0001891883,0.001488756,0.001800523,0.00188748,0.00002294315,0.005979024,0.000185441],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948234,0.001909243,0.000286671,0.002028948,0.0004310576,0.0002044956,0.0001041114,0.0000145655,0.0001975214],"genre_scores_gemma":[0.9927512,0.000115863,0.006361279,0.000492723,0.0002072154,0.00001087569,0.00003308518,0.00001403117,0.00001372934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5542262,"threshold_uncertainty_score":0.3902542,"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."}}