{"id":"W3015685527","doi":"","title":"Examining the relationship between mercury and organic matter in lake sediments along a latitudinal transect in subarctic Canada","year":2016,"lang":"en","type":"article","venue":"EGUGA","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Subarctic climate; Transect; Mercury (programming language); Oceanography; Organic matter; Geology; Physical geography; Environmental science; Ecology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002730606,0.00007607646,0.00009167636,0.00002344277,0.00008149853,0.000008951147,0.00006692757,0.00002360104,0.001041775],"category_scores_gemma":[0.00007667943,0.00004614316,0.000007081886,0.0001669858,0.00007787483,0.0001372067,0.00003775461,0.00008254092,0.00006085506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001250119,"about_ca_system_score_gemma":0.00002373426,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04376661,"about_ca_topic_score_gemma":0.7921626,"domain_scores_codex":[0.9992946,0.00007582282,0.0001581045,0.0001393726,0.0001567536,0.0001753266],"domain_scores_gemma":[0.9993708,0.000466136,0.00003061433,0.00008983145,0.000001774584,0.00004081559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001809687,0.000003455743,0.9977943,0.000002658217,0.000003340078,0.000003186588,0.0008633159,0.000001324493,0.0003612395,0.000005115211,0.0005311234,0.0004291533],"study_design_scores_gemma":[0.0003011626,0.000008799807,0.9987089,0.00002955735,0.000006159812,0.000002509105,0.0001496805,6.247681e-7,0.00008750278,0.0001525602,0.0004827049,0.00006982421],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965525,0.00003197073,0.00001502889,0.002398042,0.00003845064,0.0001076041,0.000008992448,0.000004298368,0.0008430737],"genre_scores_gemma":[0.9993507,0.000004465473,0.00001791604,0.0002375933,0.00001673678,0.00001034271,0.000001465098,0.000005958914,0.0003548267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.748396,"threshold_uncertainty_score":0.9998714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04090659136045235,"score_gpt":0.2471175146532847,"score_spread":0.2062109232928324,"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."}}