{"id":"W2965081244","doi":"10.1016/j.chemgeo.2019.08.006","title":"Trace metal geochemistry of remote rivers in the Canadian Arctic Archipelago","year":2019,"lang":"en","type":"article","venue":"Chemical Geology","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Fisheries and Oceans Canada; University of British Columbia","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; University of Toronto","keywords":"Archipelago; Arctic; Trace metal; Geology; Biogeochemical cycle; Permafrost; Oceanography; Particulates; Geochemistry; Bedrock; Radiogenic nuclide; Environmental science; Environmental chemistry; Geomorphology; Ecology; Metal; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001533089,0.00007318871,0.0001391067,0.00003845014,0.00002212073,0.000005392188,0.0002562166,0.0001066868,0.007739306],"category_scores_gemma":[0.00004693943,0.00005335793,0.00004409371,0.0001171196,0.0001563995,0.0000254606,0.000007987315,0.0002064249,0.0002258824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006710159,"about_ca_system_score_gemma":0.00006160369,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4437445,"about_ca_topic_score_gemma":0.7199438,"domain_scores_codex":[0.9993299,0.0000304035,0.0001209174,0.0001506529,0.00009010075,0.000278051],"domain_scores_gemma":[0.999534,0.000169249,0.00003164203,0.0001682019,0.00001563076,0.00008131271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004049637,0.00001191617,0.9755591,0.00006699301,0.00001197095,0.00004532397,0.001778749,0.00003102196,0.01644461,0.00003943566,0.0002429728,0.005727451],"study_design_scores_gemma":[0.0009472555,0.0001201357,0.9573236,0.00003890732,0.00003377298,0.0002989683,0.001587909,0.004548846,0.01600183,0.007225456,0.0114777,0.0003955764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980046,0.0002201492,2.043035e-7,0.0008602334,0.0000839642,0.00007144966,0.0000927666,0.000003030564,0.01862223],"genre_scores_gemma":[0.9989799,0.00001836166,0.0000574954,0.0004077108,0.00004220145,1.943164e-7,0.0004120339,0.000001318126,0.00008079448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2761993,"threshold_uncertainty_score":0.9931678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02035716252708485,"score_gpt":0.2196600932571112,"score_spread":0.1993029307300264,"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."}}