{"id":"W2118635061","doi":"10.1080/15287390500225724","title":"Human Milk Biomonitoring Data: Interpretation and Risk Assessment Issues","year":2005,"lang":"en","type":"review","venue":"Journal of Toxicology and Environmental Health","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Western University; Hospital for Sick Children; University of Ottawa","funders":"","keywords":"Biomonitoring; Breastfeeding; Environmental health; Risk assessment; Breast milk; Epidemiology; Infant formula; Human health; Medicine; Environmental epidemiology; Exposure assessment; Biology; Pediatrics; Pathology; Computer science; Ecology","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":[0.001770202,0.0003107895,0.00118508,0.0001005449,0.0003242761,0.00003510087,0.0003377482,0.0002681128,0.0002423648],"category_scores_gemma":[0.00002066129,0.0002433461,0.0001151088,0.0000625918,0.0003298688,0.0004733538,0.0005467674,0.0008125643,0.00002259311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005524125,"about_ca_system_score_gemma":0.00004866431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001049842,"about_ca_topic_score_gemma":0.00008886488,"domain_scores_codex":[0.9972826,0.0006743814,0.001040056,0.0004049864,0.0002843564,0.0003135868],"domain_scores_gemma":[0.9980214,0.0001084153,0.001252415,0.0003025299,0.000001464127,0.0003138045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000642878,0.000175925,0.002934121,0.0004011893,0.00009972505,0.00001563189,0.0001356481,0.000004477088,0.00001626974,0.000003350419,0.0005328996,0.9956743],"study_design_scores_gemma":[0.0003207592,0.001067858,0.01327531,0.0007631257,0.00037542,0.0004722115,0.00009656756,0.00006004152,0.000002944198,0.0000543575,0.9832567,0.000254704],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01353416,0.9853727,0.00008269736,0.0001614558,0.0003268977,0.0003020347,0.00009786375,0.000006321004,0.0001158967],"genre_scores_gemma":[0.008838716,0.9883319,0.002158764,0.0001157791,0.0003573977,0.000004473167,0.00004129943,0.00002351449,0.0001281241],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9954196,"threshold_uncertainty_score":0.9923365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06037552090390604,"score_gpt":0.4207700725380359,"score_spread":0.3603945516341299,"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."}}