{"id":"W2064557216","doi":"10.1021/es7024388","title":"Size and Biomagnification: How Habitat Selection Explains Beluga Mercury Levels","year":2008,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; ArcticNet; University of Winnipeg","keywords":"Beluga Whale; Beluga; Biomagnification; Biology; Bioaccumulation; Population; Mercury (programming language); Beaufort sea; Cetacea; Fatty acid; Zoology; Ecology; Biochemistry; Arctic","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":[0.0009219904,0.0002093722,0.0002486956,0.0005497141,0.0005069811,0.0006115137,0.0005182447,0.0003522334,0.001388941],"category_scores_gemma":[0.00288271,0.0002333204,0.0004308917,0.000418006,0.0007891919,0.000536098,0.0005234251,0.0002907723,0.0001825444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004770181,"about_ca_system_score_gemma":0.0003570981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0316263,"about_ca_topic_score_gemma":0.06709342,"domain_scores_codex":[0.99962,0.0001635663,0.00001469181,0.0001081862,0.00003480772,0.00005879724],"domain_scores_gemma":[0.9986545,0.0005016294,0.000322376,0.0001818557,0.0001219051,0.0002177101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009559147,0.00002785569,0.9906131,0.00000998278,0.0001284559,0.0001119601,0.0005210827,0.000439811,0.003389874,0.0001543754,0.0001659971,0.004341843],"study_design_scores_gemma":[0.000002227308,0.00003167843,0.9978225,0.000002824321,0.00002865887,0.00006842169,0.0002467087,0.001429249,0.00007842543,0.0001588502,0.000125883,0.0000045759],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994127,0.00006325031,0.0002306843,0.00006331894,0.000001598275,0.000001536922,0.00002779458,0.000005037576,0.0001940587],"genre_scores_gemma":[0.9997018,0.00001837897,0.0001481421,0.00001950969,0.00000200338,0.000002229848,0.00003507509,0.000003651261,0.00006925166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0316263,"threshold_uncertainty_score":0.06288445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01751798534993413,"score_gpt":0.2330297760782487,"score_spread":0.2155117907283146,"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."}}