{"id":"W3012214260","doi":"10.1007/s00300-020-02646-x","title":"Mercury and stable isotope (δ13C and δ15N) trends in decapods of the Beaufort Sea","year":2020,"lang":"en","type":"article","venue":"Polar Biology","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Fisheries and Oceans Canada; Université Laval; University of Manitoba","funders":"ArcticNet","keywords":"Biology; Mercury (programming language); Beaufort sea; δ15N; Oceanography; Fishery; δ13C; Stable isotope ratio; Isotope; Ecology; Zoology; 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":[0.0002051217,0.0001917077,0.0002440047,0.001074254,0.0008264631,0.0004890772,0.0003689709,0.0003316737,0.0007301588],"category_scores_gemma":[0.000272227,0.0001821218,0.0001743969,0.000899743,0.0006083533,0.0003000185,0.0003443911,0.0001964091,0.0001492996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123905,"about_ca_system_score_gemma":0.0004369009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2016005,"about_ca_topic_score_gemma":0.3661686,"domain_scores_codex":[0.9998972,0.00001171656,0.000005428163,0.00003485312,0.00002391795,0.0000267375],"domain_scores_gemma":[0.9997259,0.00003737626,0.00008199227,0.00001343377,0.00008269968,0.00005859925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002882581,0.00002248006,0.9815294,0.00001955112,0.0001177326,0.0001787268,0.001405529,0.0003623955,0.007419057,0.00005925628,0.0001640118,0.008433674],"study_design_scores_gemma":[9.30146e-7,0.00001287626,0.9994261,0.000001192151,0.00000395079,0.00003386047,0.0001750691,0.00007659342,0.00008994349,0.000008485112,0.0001693151,0.000001750783],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999507,0.0001273961,0.00001740701,0.00001328696,0.000001141104,4.5355e-7,0.0001049814,0.000002012792,0.0002263435],"genre_scores_gemma":[0.9990989,0.0000678664,0.000085978,0.00002531611,0.000003109132,0.000001879113,0.0002144318,0.000002563015,0.0004999845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2016005,"threshold_uncertainty_score":0.4008541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01062043760825828,"score_gpt":0.2382710087916468,"score_spread":0.2276505711833885,"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."}}