{"id":"W1992674332","doi":"10.1155/2013/497490","title":"Biomedical Pollutants in the Urban Environment and Implications for Public Health: A Case Study","year":2013,"lang":"en","type":"article","venue":"ISRN Public Health","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Pollutant; Incineration; Mercury (programming language); Environmental chemistry; Waste management; Environmental science; Health risk; Environmental planning; Environmental health; Chemistry; Engineering","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":[0.001587718,0.0004565493,0.0003983207,0.001094493,0.006501103,0.001746504,0.0009202312,0.001930319,0.00276984],"category_scores_gemma":[0.002123063,0.0003862112,0.0002582543,0.00222196,0.003304079,0.001401332,0.002664147,0.0009714016,0.0001693836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003291511,"about_ca_system_score_gemma":0.002126536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0127064,"about_ca_topic_score_gemma":0.02512834,"domain_scores_codex":[0.9980379,0.00139442,0.00004806535,0.00007497545,0.0001232273,0.0003214275],"domain_scores_gemma":[0.9979095,0.001311108,0.0003841866,0.00006171485,0.0001170367,0.0002164234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002535211,0.001688122,0.1214029,0.001477557,0.0000444621,0.1138001,0.7003375,0.001682277,0.003903358,0.01086992,0.00263413,0.04190613],"study_design_scores_gemma":[0.00002195404,0.0004174674,0.01719267,0.0003612373,0.00002829127,0.01126892,0.9482822,0.0006036371,0.0009023963,0.000688101,0.02021123,0.00002190604],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918945,0.0009088754,0.0007716866,0.001928735,0.00001567125,0.0001316538,0.00004582649,0.000004902136,0.004298002],"genre_scores_gemma":[0.9951606,0.002254993,0.0009086311,0.0002479181,0.00001925154,0.00008687504,0.00001594811,0.000002831508,0.001302923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0127064,"threshold_uncertainty_score":0.02526486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1357981352120291,"score_gpt":0.3624472583708114,"score_spread":0.2266491231587824,"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."}}