{"id":"W2327618685","doi":"10.1289/ehp.00108s5861","title":"The Multiple Indicator Dilution Method and Its Utility in Risk Assessment","year":2000,"lang":"en","type":"article","venue":"Environmental Health Perspectives","topic":"Drug Transport and Resistance Mechanisms","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal General Hospital","funders":"","keywords":"Physiologically based pharmacokinetic modelling; Dilution; Biological system; Chemistry; Excretory system; Indicator dilution; Kidney; Pharmacokinetics; Biochemical engineering; Pharmacology; Thermodynamics; Biology; Internal medicine; Medicine; Hemodynamics; Cardiac output; Endocrinology","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":[0.01392808,0.001710857,0.00225265,0.005707122,0.0006826759,0.002632818,0.002571782,0.003228523,0.002027647],"category_scores_gemma":[0.02139919,0.0008194958,0.001231684,0.003845986,0.00339531,0.002458428,0.002418147,0.003129506,0.001162414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001240589,"about_ca_system_score_gemma":0.001721298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00129333,"about_ca_topic_score_gemma":0.0007809731,"domain_scores_codex":[0.9838617,0.01065616,0.000391801,0.001194785,0.003685061,0.0002103465],"domain_scores_gemma":[0.9866396,0.009680656,0.001318182,0.001013599,0.001088774,0.000259217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001154512,0.0003129829,0.01115781,0.00206875,0.0004238428,0.001240923,0.0004469996,0.07127431,0.06805395,0.1796689,0.006455766,0.6577413],"study_design_scores_gemma":[0.0001669083,0.00242224,0.009677895,0.0007325241,0.0003913698,0.008278617,0.0003591959,0.3420851,0.1390887,0.3519458,0.1440263,0.0008254814],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004138459,0.01530155,0.9750847,0.0006768018,0.0001445709,0.000122231,0.0001902812,0.0003724782,0.003968887],"genre_scores_gemma":[0.1361579,0.01817276,0.8398673,0.0005237029,0.0003480711,0.0006196742,0.0002402345,0.0001439458,0.003926433],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01392808,"threshold_uncertainty_score":0.07365966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01002696261479445,"score_gpt":0.3162168044682953,"score_spread":0.3061898418535008,"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."}}