{"id":"W1988755037","doi":"10.1021/es200026w","title":"Tracing Waterbird Exposure to Total Mercury and Selenium: A Case Study at the Solar Saltworks of Thyna (Sfax, Tunisia)","year":2011,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Universitat de Barcelona","keywords":"Mercury (programming language); Tracing; Selenium; Environmental science; Environmental chemistry; Chemistry; Computer 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":[0.0002406736,0.0004100755,0.0002315515,0.0006320893,0.00115114,0.0004052519,0.0003834948,0.0007227162,0.0005539237],"category_scores_gemma":[0.0002814817,0.0001707415,0.0003037303,0.000461886,0.0005538178,0.0002777549,0.0004380873,0.0003048576,0.0001030761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008541237,"about_ca_system_score_gemma":0.0003164131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03775659,"about_ca_topic_score_gemma":0.09313288,"domain_scores_codex":[0.9998067,0.00004343464,0.000009464637,0.00006732193,0.00002818903,0.00004486164],"domain_scores_gemma":[0.9998094,0.00002865168,0.0000504517,0.00001500665,0.00004457956,0.00005188941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001855096,0.0003178785,0.9546385,0.00008471172,0.00008211935,0.01430287,0.01156548,0.0002070654,0.009940884,0.00007760266,0.000218533,0.008378962],"study_design_scores_gemma":[0.000007292999,0.0008231361,0.971931,0.00002329468,0.00008333972,0.007395269,0.01523488,0.0004301684,0.002636558,0.00006305071,0.001352914,0.00001912732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999728,0.00004010217,0.0000672649,0.00001710871,0.000001036937,0.000006391771,0.00004023909,0.000001200968,0.00009853404],"genre_scores_gemma":[0.9988089,0.0001632,0.0004145996,0.00003726361,0.000005045822,0.000007808597,0.00007186249,0.000001551966,0.000489851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03775659,"threshold_uncertainty_score":0.07507366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01501260170292979,"score_gpt":0.2352300313057432,"score_spread":0.2202174296028134,"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."}}