{"id":"W2092039972","doi":"10.1097/rli.0b013e318172f5b5","title":"Contrast-Enhanced Microcomputed Tomography Using Intraperitoneal Contrast Injection for the Assessment of Tumor-Burden in Liver Metastasis Models","year":2008,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Iohexol; Medicine; In vivo; Metastasis; Liver tumor; Radiology; Ex vivo; Contrast (vision); Nuclear medicine; Pathology; Internal medicine; Cancer; Computer science; Hepatocellular carcinoma; Renal function; Biology","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":[0.0003024913,0.0002356276,0.0006952623,0.0002518067,0.0001374303,0.000006508496,0.0001047573,0.0001205456,0.00001585976],"category_scores_gemma":[0.00005615559,0.0001734337,0.000221288,0.0004099632,0.0009675938,0.00009752057,0.00002416663,0.0002268265,5.2508e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001313702,"about_ca_system_score_gemma":0.0002835302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005397583,"about_ca_topic_score_gemma":0.00004379008,"domain_scores_codex":[0.9984201,0.0003001141,0.0004728828,0.0003403569,0.0001348884,0.0003317278],"domain_scores_gemma":[0.998751,0.0005295636,0.0002102427,0.000186306,0.0002128251,0.000110106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007332703,0.000475781,0.417039,0.0002035183,0.002188287,0.0003223893,0.006136187,0.005059074,0.5584916,0.003118444,0.0002022255,0.006030122],"study_design_scores_gemma":[0.006941342,0.002354841,0.1340787,0.0001543247,0.000715018,0.001122698,0.0006284179,0.6841537,0.1682729,0.001140804,0.00009954406,0.0003375803],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9516742,0.001443371,0.04453317,0.0003223507,0.0001064054,0.001751924,0.0000451324,0.00002887473,0.00009458369],"genre_scores_gemma":[0.9733358,0.00007894156,0.02587635,0.0002475531,0.0001348241,0.0002481081,0.00004880855,0.00002253142,0.000007110873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6790947,"threshold_uncertainty_score":0.707242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1121377250543379,"score_gpt":0.2965352788033708,"score_spread":0.1843975537490329,"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."}}