{"id":"W2029824281","doi":"10.1039/b408464k","title":"Multi-component assessment of worker exposures in a copper refinery : Part 1. Environmental monitoring","year":2004,"lang":"en","type":"article","venue":"Journal of Environmental Monitoring","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Copper; Nickel; Arsenic; Aerosol; Refinery; Chemistry; Selenium; Environmental chemistry; Cobalt; Trace element; Fraction (chemistry); Metallurgy; Inorganic chemistry; Chromatography; Materials science","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":[0.0004664608,0.0005736765,0.0003013754,0.0007113263,0.0002770915,0.0003503432,0.0003272983,0.00038327,0.0008020083],"category_scores_gemma":[0.0008847333,0.0002588214,0.0002824075,0.0006742693,0.0002430073,0.0001380911,0.0005224409,0.0001686724,0.0001831199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003792538,"about_ca_system_score_gemma":0.0003415059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.020177,"about_ca_topic_score_gemma":0.01786833,"domain_scores_codex":[0.9995199,0.0001256278,0.00002236027,0.0001147593,0.0001585829,0.00005871347],"domain_scores_gemma":[0.9996939,0.00008336137,0.00008149805,0.00003684151,0.00007440054,0.00003009955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006421778,0.0002153937,0.9455374,0.00004750172,0.0001001013,0.0001103239,0.0005907168,0.001153596,0.02067641,0.00001974923,0.00008180804,0.03082478],"study_design_scores_gemma":[0.000005283411,0.0005424203,0.9958975,0.000002028467,0.00002784113,0.00008359945,0.0001528735,0.0005355263,0.002580635,0.00001333649,0.0001537477,0.000005172038],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991276,0.00005580282,0.0005844717,0.000004265206,4.145679e-7,0.00001938275,0.00007674535,0.0000101531,0.0001212786],"genre_scores_gemma":[0.9985867,0.00005935655,0.0007808327,0.000004808369,0.000001211408,0.00001916699,0.0001207511,0.000003662454,0.0004235045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.020177,"threshold_uncertainty_score":0.04011911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04640316143026676,"score_gpt":0.3209250115213407,"score_spread":0.2745218500910739,"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."}}