{"id":"W6884438561","doi":"10.1021/es300798w.s001","title":"Spatial and Temporal Assessment\\nof Mercury and Organic\\nMatter in Thermokarst Affected Lakes of the Mackenzie Delta Uplands,\\nNT, Canada","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thermokarst; Permafrost; Mercury (programming language); Dilution; Total organic carbon; Sediment; Delta; Arctic; Sedimentation","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":[0.0002450559,0.0003025866,0.000230352,0.00130679,0.0009964478,0.0007080481,0.0005135486,0.0002430613,0.0002897945],"category_scores_gemma":[0.000363288,0.0002685876,0.0002544743,0.001310271,0.0007009613,0.0001721567,0.0005607359,0.000159528,0.00005353956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005953365,"about_ca_system_score_gemma":0.003479932,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8943484,"about_ca_topic_score_gemma":0.9779846,"domain_scores_codex":[0.9997036,0.00001777914,0.00001802256,0.00008522698,0.00008813227,0.00008719868],"domain_scores_gemma":[0.9994562,0.00002700677,0.0001771674,0.00002396465,0.0002156769,0.00009994293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006084134,0.00001165221,0.9942678,0.0000154644,0.00004906652,0.0001333434,0.0008954158,0.00006032074,0.002660784,0.00001670763,0.00006646346,0.001762061],"study_design_scores_gemma":[0.000001005345,0.000008342732,0.9991218,0.000002733999,0.00001167767,0.00003316344,0.0003690764,0.00007298028,0.0002029669,0.000002398257,0.0001719033,0.000001840804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993597,0.0000892966,0.00003350453,0.000009176548,0.000001051606,0.000006991829,0.0002548279,0.000002739975,0.0002427581],"genre_scores_gemma":[0.998995,0.00009673304,0.0001397352,0.00001567186,0.000001192476,0.000008225108,0.000305716,0.00000171078,0.000436136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1056516,"threshold_uncertainty_score":0.2125476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01419608369529475,"score_gpt":0.2290479688731939,"score_spread":0.2148518851778992,"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."}}