{"id":"W3110850593","doi":"10.1002/jwmg.21980","title":"Widespread Lead Exposure in Golden Eagles Captured in Montana","year":2020,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Max-Planck-Gesellschaft; Montana Department of Transportation; U.S. Department of Transportation","keywords":"Hunting season; Eagle; Wildlife; Geography; Lead exposure; Lead poisoning; Lead (geology); Fishery; Ecology; Demography; Biology; Medicine; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001348609,0.0001427843,0.0001166434,0.0005817736,0.0005560284,0.0003698584,0.000173694,0.0002142968,0.0008234509],"category_scores_gemma":[0.0002135198,0.0001202639,0.00010288,0.0003308825,0.0002483174,0.0001508063,0.0003169445,0.0001469391,0.00015537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004398992,"about_ca_system_score_gemma":0.0002049948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0618051,"about_ca_topic_score_gemma":0.2001843,"domain_scores_codex":[0.9999121,0.00001597238,0.000007972673,0.00003112792,0.00001583707,0.00001689551],"domain_scores_gemma":[0.9998018,0.00001885561,0.00007636202,0.00001017917,0.00004298699,0.00004975358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003024582,0.00001542676,0.9967896,0.000005744119,0.00001214161,0.0001603155,0.0003092506,0.00001212519,0.001298796,0.000003392937,0.00008217865,0.00128063],"study_design_scores_gemma":[8.170742e-7,0.00003462106,0.999049,0.000003844504,0.000004330653,0.0001259414,0.0005918327,0.00002258896,0.00006513663,0.000002991305,0.00009800637,9.747496e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995269,0.00003685222,0.00001694265,0.0000151246,0.000001551625,0.00000383123,0.0001052146,0.000003050028,0.0002906361],"genre_scores_gemma":[0.9993473,0.00004940272,0.00007097022,0.00003323492,0.000003076688,0.000005301732,0.0001913005,8.930034e-7,0.0002983864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0618051,"threshold_uncertainty_score":0.1228907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02348915554268572,"score_gpt":0.2458179316689068,"score_spread":0.2223287761262211,"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."}}