{"id":"W2314396244","doi":"10.1021/es501749j","title":"Response to Comment on “Mercury Biomagnification through Food Webs Is Affected by Physical and Chemical Characteristics of Lakes”","year":2014,"lang":"en","type":"letter","venue":"Environmental Science & Technology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University; Environment and Climate Change Canada; University of New Brunswick","funders":"","keywords":"Biomagnification; Library science; Phone; Citation; Nova scotia; Environmental research; Geography; Ecology; Archaeology; Environmental science; Computer science; Environmental resource management; Bioaccumulation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002269047,0.001188031,0.0008243981,0.001074602,0.002962106,0.001853774,0.00146884,0.01430063,0.2543586],"category_scores_gemma":[0.01258841,0.000708782,0.001164748,0.0007668461,0.001114209,0.001785569,0.001938863,0.006570378,0.1430634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002906029,"about_ca_system_score_gemma":0.003049655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01021762,"about_ca_topic_score_gemma":0.01250106,"domain_scores_codex":[0.9977514,0.0002569143,0.0001560533,0.0002055226,0.001257565,0.0003725077],"domain_scores_gemma":[0.9938478,0.001574679,0.0004825638,0.0002979069,0.003104986,0.0006921032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002707909,0.00001086974,0.00008583274,0.00002718562,0.000002183893,0.00005320949,0.00001966832,0.000008551854,0.0001494066,0.0001077045,0.9979694,0.001538965],"study_design_scores_gemma":[0.00004749687,0.00005602539,0.001230354,0.0001067361,0.00001147684,0.00007043456,0.0002163706,0.00006040148,0.0007015517,0.0003452166,0.99712,0.00003394277],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002019645,0.0009086133,0.00072341,0.6371163,0.2695114,0.0004473143,0.005054632,0.001624405,0.08259416],"genre_scores_gemma":[0.01015854,0.001499199,0.0009422547,0.452791,0.05531135,0.0006442229,0.002765355,0.0008300295,0.4750581],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2543586,"threshold_uncertainty_score":0.8509141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212395772431402,"score_gpt":0.2442757579006252,"score_spread":0.2321518001763112,"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."}}