{"id":"W2341940716","doi":"10.1021/acs.est.6b00483","title":"Hair Mercury Concentrations in Western Hudson Bay Polar Bear Family Groups","year":2016,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Churchill Northern Studies Centre; Canadian Wildlife Federation; Environment Canada; ArcticNet; Quark Expeditions; Parks Canada; Villum Fonden; World Wildlife Fund","keywords":"Ursus maritimus; Offspring; Biomagnification; Methylmercury; Litter; Bay; Mercury (programming language); Ecotoxicology; Arctic; Biology; Ecology; Pollutant; Bioaccumulation; Zoology; Pregnancy; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002410792,0.0002271685,0.0001940947,0.0006916486,0.0004386306,0.0003175091,0.0001824793,0.0001962889,0.001308525],"category_scores_gemma":[0.0004970387,0.0001548686,0.0001617619,0.0004760519,0.0003195047,0.000184301,0.0003215349,0.0001584812,0.0001715563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004593339,"about_ca_system_score_gemma":0.0002168668,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05927425,"about_ca_topic_score_gemma":0.09024245,"domain_scores_codex":[0.9998655,0.0000224078,0.000008111543,0.00005405295,0.00002692495,0.00002292661],"domain_scores_gemma":[0.9996651,0.00003747178,0.0001504154,0.00002457403,0.00006049124,0.00006184313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007138844,0.000009938302,0.9961605,0.000005009302,0.0000259944,0.00009468568,0.0006401807,0.0000321131,0.001727994,0.000008489282,0.00008286094,0.001140825],"study_design_scores_gemma":[5.686963e-7,0.00002659715,0.9994668,0.000001184479,0.000005202975,0.00003493024,0.0003132158,0.00001459852,0.00007347121,0.00000255398,0.00006001168,8.413086e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999706,0.00004084058,0.00001487061,0.000006161943,0.00000146899,0.000001443775,0.0001163349,0.000001067139,0.0001118484],"genre_scores_gemma":[0.999218,0.00007953584,0.00005549712,0.00001348161,0.000003355879,0.00000634336,0.0002272344,0.000001261068,0.000395281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9407257,"threshold_uncertainty_score":0.1178585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009420147780945133,"score_gpt":0.2343175164103534,"score_spread":0.2248973686294083,"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."}}