{"id":"W2158764824","doi":"10.1002/etc.2204","title":"Metal and selenium concentrations in blood and feathers of petrels of the genus<i>procellaria</i>","year":2013,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Environment Research Council; Sight Research UK; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; International Development Research Centre","keywords":"Feather; Selenium; Mercury (programming language); Cadmium; Chemistry; Environmental chemistry; Animal science; Zinc; Biology; Zoology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008263172,0.0004494315,0.0002320808,0.0008031757,0.0004436391,0.0002774519,0.0002393464,0.0003881854,0.001076116],"category_scores_gemma":[0.0003140979,0.0002825481,0.000181506,0.0003372618,0.0005028695,0.000258127,0.0003530135,0.0003515008,0.0002515523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003259845,"about_ca_system_score_gemma":0.0001653099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009629464,"about_ca_topic_score_gemma":0.01373789,"domain_scores_codex":[0.999905,0.000007748312,0.000006998321,0.00004487525,0.00001641081,0.00001889493],"domain_scores_gemma":[0.9996396,0.00003642695,0.0001546989,0.00002330716,0.00006372598,0.00008215613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002745094,0.0001039915,0.5777313,0.0001739404,0.0001802345,0.000686493,0.002024089,0.0001693324,0.3971272,0.0001024112,0.0001744662,0.01878145],"study_design_scores_gemma":[0.000009482953,0.0004946389,0.9945471,0.000006315852,0.00002775087,0.0003839661,0.0004399995,0.0001426197,0.003537659,0.00002340929,0.0003791921,0.000007914982],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996428,0.00006203609,0.00003912944,0.000004702319,7.914538e-7,0.000001750144,0.0000470416,0.000003780103,0.0001979007],"genre_scores_gemma":[0.9987829,0.00008345723,0.0002644448,0.00002370618,0.000002560329,0.000006848241,0.0002189009,0.00000422399,0.0006128298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009629464,"threshold_uncertainty_score":0.0191468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005173713962131201,"score_gpt":0.1902965332662952,"score_spread":0.185122819304164,"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."}}