{"id":"W2129973299","doi":"10.3934/environsci.2015.1.21","title":"The use of biomonitoring equivalents for interpreting blood concentrations in population studies: a case for polychlorinated biphenyls","year":2015,"lang":"en","type":"article","venue":"AIMS environmental science","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Genomics; Health Canada; University of Ottawa","funders":"Canada Research Chairs","keywords":"Biomonitoring; Guideline; Environmental science; Environmental chemistry; Environmental health; Reference values; Medicine; Chemistry; Pathology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000942862,0.0001416091,0.0001436528,0.00004890521,0.0004138199,0.00005869539,0.0003293446,0.00003685923,0.00001187777],"category_scores_gemma":[0.0008079421,0.0001095815,0.00004453145,0.0003862718,0.0009850197,0.0008546305,0.0002715381,0.00005848089,0.000005708734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008618081,"about_ca_system_score_gemma":0.00002388092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004300768,"about_ca_topic_score_gemma":0.0002296966,"domain_scores_codex":[0.9983033,0.00003760261,0.000388496,0.0003652327,0.0004047827,0.0005005703],"domain_scores_gemma":[0.998996,0.0003720412,0.0001925445,0.0002753797,0.000003006352,0.000161097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000149793,0.000325158,0.3949687,0.000008776165,0.0000394728,0.00002271168,0.005763791,0.001412849,0.537217,0.00007157026,0.00007400398,0.05994625],"study_design_scores_gemma":[0.006839743,0.002054476,0.4763478,0.0002216276,0.0001847701,0.0005096141,0.01314326,0.05047141,0.4448301,0.001641646,0.002471053,0.001284526],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998042,0.00007136571,0.0004401006,0.0001042142,0.0004107342,0.000794118,0.0001066592,0.00001578374,0.00001504247],"genre_scores_gemma":[0.9974229,0.00002293751,0.002373959,0.00003380571,0.00002344362,0.00004804033,0.000001478299,0.00001343383,0.00005998332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09238689,"threshold_uncertainty_score":0.4468606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09376419229685347,"score_gpt":0.3365738627428708,"score_spread":0.2428096704460173,"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."}}