{"id":"W2003429404","doi":"10.1016/j.scitotenv.2004.05.031","title":"Chemical composition of arctic snow: concentration levels and regional distribution of major elements","year":2004,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geological Survey of Canada","funders":"Norges Geologiske Undersøkelse","keywords":"Snow; Arctic; Environmental science; Seawater; Physical geography; Pollution; Range (aeronautics); Environmental chemistry; Oceanography; Atmospheric sciences; Geology; Geography; Chemistry; Ecology; Geomorphology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0001461785,0.0002114073,0.0001640166,0.0009101865,0.0005172256,0.0004308819,0.0001670999,0.0002179414,0.0006599853],"category_scores_gemma":[0.0002102599,0.0001669067,0.0002013018,0.0005934066,0.0001544538,0.0001684893,0.0001483216,0.0001038998,0.0002006731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003924185,"about_ca_system_score_gemma":0.0004606367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04466422,"about_ca_topic_score_gemma":0.04430361,"domain_scores_codex":[0.9999465,0.000007544043,0.000004047311,0.00001604041,0.00001392549,0.00001194949],"domain_scores_gemma":[0.999882,0.00001715262,0.0000213872,0.000003638531,0.00005338483,0.00002242722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001817577,0.0001078074,0.6500513,0.0002193243,0.0003836361,0.0003692941,0.0004308682,0.002963502,0.3230629,0.00051371,0.000691963,0.01938817],"study_design_scores_gemma":[0.00001113483,0.0001207534,0.9645471,0.00001453135,0.0001052464,0.0003263459,0.0003569193,0.001869166,0.03024377,0.0001967912,0.002199459,0.000008851326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962808,0.0008921804,0.0002766341,0.00003035837,0.00001465644,0.000004249097,0.0009336008,0.000008460192,0.001559068],"genre_scores_gemma":[0.9969941,0.0008467622,0.0002800718,0.00002616667,0.0000129606,0.000003158261,0.0007796239,0.00000707248,0.001050065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04466422,"threshold_uncertainty_score":0.08880854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01061271101995535,"score_gpt":0.1924217806463762,"score_spread":0.1818090696264209,"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."}}