{"id":"W2527147609","doi":"10.1016/j.yrtph.2016.09.030","title":"Derivation of biomonitoring equivalent for inorganic tin for interpreting population-level urinary biomonitoring data","year":2016,"lang":"en","type":"article","venue":"Regulatory Toxicology and Pharmacology","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Health Canada","funders":"Health Canada; National Institutes of Health","keywords":"Biomonitoring; Environmental chemistry; Population; Environmental science; Environmental health; Chemistry; 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":[0.0007597739,0.0001940903,0.0003356853,0.00007516446,0.000146148,0.000006665424,0.0003569635,0.0003172795,0.0002825293],"category_scores_gemma":[0.0004431561,0.0001711094,0.00005634454,0.00007375781,0.0002229881,0.0001277237,0.0003583926,0.00009812145,9.900685e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001864836,"about_ca_system_score_gemma":0.00008054743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002085781,"about_ca_topic_score_gemma":3.685142e-7,"domain_scores_codex":[0.9984424,0.00006848774,0.0005264795,0.000512924,0.00009269267,0.0003570571],"domain_scores_gemma":[0.9974694,0.001738026,0.0002833983,0.0003056116,0.00009684659,0.0001067064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002848145,0.00009922998,0.03122144,0.0004599911,0.0001707112,0.000001483281,0.00004530208,0.000001878795,0.9539972,0.0002404594,0.0002255021,0.01325202],"study_design_scores_gemma":[0.001541727,0.00008780036,0.006602324,0.00009026492,0.0001392748,0.00001840538,0.00003399325,0.000726091,0.9870152,0.0009228848,0.002600631,0.0002213898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9543715,0.0002593941,0.04377039,0.0003964797,0.0006879453,0.0002370972,0.0001694162,0.00005326866,0.00005455654],"genre_scores_gemma":[0.9765062,0.00004407617,0.02233355,0.00004502785,0.0005988319,0.00009596723,0.00006958275,0.00003028272,0.0002764796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03301804,"threshold_uncertainty_score":0.6977639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1133776508027294,"score_gpt":0.3972254259733533,"score_spread":0.2838477751706238,"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."}}