{"id":"W4387642932","doi":"10.1016/j.envres.2023.117361","title":"Biomonitoring of exposure to multiple metal components in urine, hair and nails of apprentice welders performing shielded metal arc welding (SMAW)","year":2023,"lang":"en","type":"article","venue":"Environmental Research","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut de recherche Robert-Sauvé en santé et en sécurité du travail; Université de Montréal","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail; Institut de recherche Robert-Sauve","keywords":"Shielded metal arc welding; Urine; Welding; Biomonitoring; Metallurgy; Chemistry; Environmental chemistry; Materials science; Arc welding; Gas metal arc welding","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":[0.002046516,0.0001911549,0.0003509156,0.0003337319,0.0001632164,0.00001749445,0.0003601636,0.0001007808,0.0003480119],"category_scores_gemma":[0.0002346589,0.0001865628,0.00009002035,0.0007637984,0.0004539033,0.0003138024,0.001096346,0.0003737531,0.0001974888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001601553,"about_ca_system_score_gemma":0.000008660539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001053946,"about_ca_topic_score_gemma":0.0001124857,"domain_scores_codex":[0.9968543,0.0002732202,0.000493299,0.0005079627,0.001210059,0.0006611659],"domain_scores_gemma":[0.9989418,0.0004048351,0.00007360547,0.0003289818,0.000004084059,0.000246705],"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":[0.00007081585,0.0001961869,0.3704608,0.00004103552,0.00002097987,0.00001798692,0.001119657,0.001046113,0.6204808,0.000003785359,0.000009212426,0.006532663],"study_design_scores_gemma":[0.0006271764,0.00032615,0.6601626,0.00005129758,0.000009480573,0.000003188458,0.001804124,0.001095742,0.3354574,0.00005405598,0.0002437166,0.0001650489],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985898,0.00008705178,0.00002570371,0.00006457805,0.0000965461,0.0004971231,0.00002115345,0.00001841188,0.0005995961],"genre_scores_gemma":[0.9988234,0.00009638596,0.0006376614,0.000007028013,0.00002962387,0.0000412784,0.0000115217,0.00002503628,0.0003280634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2897018,"threshold_uncertainty_score":0.7607809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07534186781999368,"score_gpt":0.3233328984344327,"score_spread":0.247991030614439,"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."}}