{"id":"W1978446931","doi":"10.1097/rli.0b013e31815603d7","title":"Noninvasive Quantification of Tumor Volume in Preclinical Liver Metastasis Models Using Contrast-Enhanced X-Ray Computed Tomography","year":2008,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"","keywords":"Medicine; Parenchyma; In vivo; Nuclear medicine; Liver parenchyma; Liver tumor; Metastasis; Computed tomography; Volume (thermodynamics); Pathology; Contrast (vision); Tomography; Ex vivo; Coefficient of variation; Radiology; Hepatocellular carcinoma; Chemistry; Cancer; Biology; 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":[0.0003253133,0.0002385768,0.0009038785,0.0003463761,0.00006819034,0.000003609496,0.0001103988,0.0001690767,0.00004288873],"category_scores_gemma":[0.000250483,0.0002142863,0.0002257077,0.0005775873,0.001378778,0.0001329686,0.00002932198,0.0002584928,0.000009781294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008250447,"about_ca_system_score_gemma":0.0002929588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002573295,"about_ca_topic_score_gemma":0.00002280429,"domain_scores_codex":[0.9977682,0.0005842212,0.0006877786,0.0004748062,0.0001700697,0.0003148841],"domain_scores_gemma":[0.9985476,0.0003960309,0.0003130875,0.0002838376,0.0002712325,0.0001882308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003823099,0.0005546294,0.8593848,0.0001076507,0.0006062049,0.0007129312,0.002897917,0.001639162,0.1323105,0.0007487591,0.0001382872,0.000516797],"study_design_scores_gemma":[0.004609924,0.001474197,0.3035802,0.0002668178,0.0005103194,0.0005838705,0.0001822275,0.4040147,0.2829655,0.001381664,0.00003988187,0.0003906455],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802597,0.001640828,0.0167146,0.0002041787,0.00008469453,0.0008974356,0.00003660783,0.00004035473,0.0001215583],"genre_scores_gemma":[0.9728674,0.00008746619,0.02657387,0.0002103475,0.00005478075,0.00006372619,0.00009992405,0.00002272127,0.00001976732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5558046,"threshold_uncertainty_score":0.873834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2173645013638713,"score_gpt":0.3094354764809487,"score_spread":0.09207097511707746,"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."}}