{"id":"W2795104862","doi":"10.1080/15230430.2017.1420863","title":"A landscape-isotopic approach to the geochemical characterization of lakes in the Kangerlussuaq region, west Greenland","year":2018,"lang":"en","type":"article","venue":"Arctic Antarctic and Alpine Research","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nuclear Waste Management Organization; Golder Associates (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geology; Weathering; Greenland ice sheet; Ice core; Groenlandia; δ18O; Groundwater; δ34S; Isotopic signature; Ice sheet; Geochemistry; Physical geography; Earth science; Hydrology (agriculture); Stable isotope ratio; Oceanography; Paleontology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002046442,0.0001005084,0.0001773759,0.0001705045,0.0003545441,0.00003836243,0.0004479099,0.00009170684,0.0002833022],"category_scores_gemma":[0.0002945665,0.00005319905,0.000026723,0.0007384138,0.0009156041,0.00008312344,0.00005749476,0.000467172,0.000111775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001480813,"about_ca_system_score_gemma":0.00005957611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001337101,"about_ca_topic_score_gemma":0.002748764,"domain_scores_codex":[0.9979648,0.0006658938,0.0002058963,0.0002891629,0.0003859033,0.0004883587],"domain_scores_gemma":[0.9986951,0.0007121209,0.00003553046,0.0003106632,0.0001588724,0.00008775844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001082724,0.00004260253,0.9961634,0.00006154454,0.00001299097,0.000009442662,0.001993312,0.000001410249,0.00005117489,0.0003262293,0.0002474778,0.0009820967],"study_design_scores_gemma":[0.0002711176,0.0003016598,0.9936943,0.00003165621,0.000006955143,0.0002267208,0.0009680613,0.001707664,0.00003475573,0.0006326174,0.002055419,0.00006907469],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828358,0.0002726358,0.00006742968,0.01246627,0.00004297009,0.0004335189,0.000007071077,0.000005800275,0.003868546],"genre_scores_gemma":[0.9987713,0.0002852285,0.00006585635,0.0003625196,0.0002027114,0.00001528829,0.00007110865,0.000002655294,0.0002233629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01593551,"threshold_uncertainty_score":0.3373581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04427699052066971,"score_gpt":0.2866410850190886,"score_spread":0.2423640944984189,"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."}}