{"id":"W2126973756","doi":"10.1186/1742-4682-10-53","title":"A physiologically-based flow network model for hepatic drug elimination II: variable lattice lobule models","year":2013,"lang":"en","type":"article","venue":"Theoretical Biology and Medical Modelling","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Virtual Materials Group (Canada); MacEwan University; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Allard Foundation; Ministry of Advanced Education, Government of Alberta","keywords":"Lobules of liver; Drug metabolism; Computational biology; Drug; Biology; Computer science; Pharmacology; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005402798,0.0005901387,0.001018572,0.0006822899,0.0004739702,0.001379428,0.0016361,0.002100841,0.002356394],"category_scores_gemma":[0.001652344,0.0005248039,0.0007998366,0.0007903779,0.001445394,0.001495159,0.0008696631,0.001290491,0.0004996451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001693667,"about_ca_system_score_gemma":0.001516988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01036524,"about_ca_topic_score_gemma":0.004485801,"domain_scores_codex":[0.9997788,0.00008377852,0.000007340668,0.00004077129,0.00004708005,0.0000421843],"domain_scores_gemma":[0.999387,0.0002985906,0.0001027043,0.00003239543,0.00009302703,0.00008621219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001565682,0.00001549128,0.0001629044,0.000010149,0.000005577328,0.00003823073,0.00001363203,0.982349,0.000871407,0.01553021,0.0001537438,0.0008340565],"study_design_scores_gemma":[0.000007660262,0.000006067185,0.00003276816,0.000001827374,0.000001708004,0.000006627514,0.0000035477,0.9960809,0.00006093032,0.003617004,0.0001761427,0.000004876259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1073779,0.0006984758,0.8756102,0.001874039,0.0001147837,0.00009145719,0.0004450753,0.0002923536,0.01349582],"genre_scores_gemma":[0.9111071,0.0009575019,0.06116374,0.0004303114,0.0001122709,0.00058392,0.0003351508,0.0001630105,0.02514694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01036524,"threshold_uncertainty_score":0.02060986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01787539826395794,"score_gpt":0.2629678332828575,"score_spread":0.2450924350188996,"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."}}