{"id":"W2010347821","doi":"10.1897/05-574r1.1","title":"Regional and species specific bioaccumulation of major and trace elements in Arctic seabirds","year":2006,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Carleton University; Queen's University","funders":"","keywords":"Larus; Bay; Bioaccumulation; Trophic level; Mercury (programming language); Charadriiformes; Biology; Tern; Arctic; Ecology; Cadmium; Zoology; Fishery; Herring; Chemistry; Oceanography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007860949,0.0000946172,0.0001128527,0.00001172242,0.00006356066,0.000005490592,0.00002900571,0.00006753486,0.001241457],"category_scores_gemma":[0.000003578607,0.00009381388,0.00001151731,0.0000322893,0.0006046665,0.00007490712,0.00007815877,0.00006507444,0.000004438692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005638741,"about_ca_system_score_gemma":0.000001418433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001644742,"about_ca_topic_score_gemma":0.0000147774,"domain_scores_codex":[0.9994078,0.00001515243,0.0001712435,0.0001904852,0.00009144936,0.0001238383],"domain_scores_gemma":[0.9998056,0.00003476537,0.0000626956,0.00005789932,5.079542e-7,0.00003852242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001381777,0.00005745215,0.601608,0.00001201239,0.000003767186,0.000001736478,0.0001059669,0.000005732316,0.3974384,0.00001945111,0.0001468234,0.0005868387],"study_design_scores_gemma":[0.0005250347,0.00002494796,0.9475099,0.000006754244,0.000006908253,0.00002087697,0.0003666548,0.00002244512,0.04851033,0.0005180325,0.002396181,0.00009192252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968596,0.0007370665,0.000004919034,0.0001795056,0.00001084602,0.0000740032,0.00001012934,0.000003838036,0.002120139],"genre_scores_gemma":[0.9982882,0.0005277856,0.0001978655,0.00003707817,0.00002026963,0.000005994747,0.00001331526,0.00000435695,0.0009051264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3489281,"threshold_uncertainty_score":0.9996715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01341846090762534,"score_gpt":0.2261091456379118,"score_spread":0.2126906847302865,"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."}}