{"id":"W3186744365","doi":"10.21079/11681/41203","title":"A pulse of mercury and major ions in snowmelt runoff from a small Arctic Alaska watershed","year":2021,"lang":"en","type":"report","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Cold Regions Research and Engineering Laboratory; Engineer Research and Development Center; Environment and Climate Change Canada; U.S. Army Corps of Engineers; Office of Polar Programs; National Science Foundation","keywords":"Snowmelt; Snowpack; Snow; Meltwater; Mercury (programming language); Arctic; Surface runoff; Environmental science; Watershed; Hydrology (agriculture); Atmospheric sciences; Geology; Oceanography; Geomorphology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001542063,0.000187273,0.0001953289,0.0004612039,0.0008851545,0.0005474691,0.0002394619,0.0002330972,0.0007132313],"category_scores_gemma":[0.0002691495,0.0001374138,0.0001221309,0.000711289,0.0002409188,0.0002572013,0.0003730945,0.0002053994,0.0001027647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105082,"about_ca_system_score_gemma":0.0009762611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1141655,"about_ca_topic_score_gemma":0.2164418,"domain_scores_codex":[0.9999149,0.000009007028,0.0000068982,0.00002565274,0.0000298402,0.00001370051],"domain_scores_gemma":[0.9997981,0.00002820581,0.00003823036,0.000009681316,0.00006437297,0.00006141932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002031429,0.0002224046,0.9722519,0.00003398419,0.00004266863,0.0009767651,0.002119156,0.0006882948,0.01494208,0.00005316628,0.0004790935,0.007987349],"study_design_scores_gemma":[0.000005838735,0.00005797358,0.9937052,0.000007237777,0.00001933283,0.00007874149,0.002169413,0.00140536,0.001788441,0.00004186314,0.000715015,0.000005521545],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993008,0.000009995317,0.00003870397,0.00001871502,0.000001758257,0.000003901336,0.0002072405,0.00001009768,0.0004086214],"genre_scores_gemma":[0.9987012,0.0000407788,0.0002070168,0.00001603834,0.000003835245,0.000009783849,0.0004929148,0.000003068746,0.0005254201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1141655,"threshold_uncertainty_score":0.227002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03886772201759295,"score_gpt":0.2349277001115513,"score_spread":0.1960599780939584,"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."}}