{"id":"W4225395678","doi":"10.1096/fasebj.2022.36.s1.r2981","title":"Correlation Between Liver Weight and Dimensions to Patient Demographics","year":2022,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Demographics; Body weight; Medicine; Correlation; Body surface area; Hepatocellular carcinoma; Weight loss; Nuclear medicine; Demography; Internal medicine; Obesity; Mathematics; Geometry","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":[0.0005848202,0.0001506045,0.0001624152,0.0008394408,0.000253055,0.0002758497,0.0001502933,0.0001423655,0.004411468],"category_scores_gemma":[0.002836081,0.00007611054,0.000131763,0.0005014873,0.0002780535,0.0002078966,0.0002610285,0.0002864873,0.0003798047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001842097,"about_ca_system_score_gemma":0.0002629215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001905757,"about_ca_topic_score_gemma":0.002953545,"domain_scores_codex":[0.9997614,0.00005364309,0.00003305154,0.00004201554,0.00007168743,0.00003822181],"domain_scores_gemma":[0.9974549,0.000816352,0.0008735172,0.0001768428,0.0003965963,0.0002818689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005529115,0.000009394552,0.9973065,0.000003798871,0.00001134804,0.00006046119,0.00003323398,0.00005881767,0.0003186727,0.00002552798,0.00009864189,0.002018211],"study_design_scores_gemma":[0.000001586454,0.00007570336,0.9983701,0.000003077099,0.000009747847,0.0005146042,0.0001348826,0.0002031129,0.000215119,0.00005412154,0.000414929,0.000003120446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972581,0.0001071028,0.0004078505,0.00004633215,0.000007259694,0.00001561237,0.0004715162,0.000008469733,0.001677844],"genre_scores_gemma":[0.9989391,0.00004552427,0.0004132327,0.00001244886,0.00000511494,0.00001146099,0.0002663997,0.000002282691,0.0003045469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004411468,"threshold_uncertainty_score":0.01475781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04291889160515734,"score_gpt":0.2314516509610552,"score_spread":0.1885327593558978,"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."}}