{"id":"W4387729446","doi":"10.1007/s10661-023-11771-z","title":"Inter-comparison of measurements of inorganic chemical components in precipitation from NADP and CAPMoN at collocated sites in the USA and Canada during 1986–2019","year":2023,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"U.S. Geological Survey; Environment and Climate Change Canada","keywords":"Environmental science; Precipitation; Acid deposition; Deposition (geology); Acid rain; Environmental monitoring; Comparability; Air pollution; Sampling (signal processing); Atmospheric sciences; Environmental chemistry; Meteorology; Geography; Environmental engineering; Ecology; Chemistry; Soil science; Soil water","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":[],"consensus_categories":[],"category_scores_codex":[0.0000935526,0.00007839764,0.0001312691,0.000006829265,0.00004345342,0.000008809408,0.00005470581,0.00002715921,0.00001796125],"category_scores_gemma":[0.00000530695,0.0000657107,0.000006503518,0.00005476196,0.0000472914,0.00004776436,0.0000335855,0.0000809074,3.837664e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003934484,"about_ca_system_score_gemma":0.00001027891,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1562282,"about_ca_topic_score_gemma":0.04183078,"domain_scores_codex":[0.9993317,0.0000358543,0.0001879002,0.0001457896,0.0001951463,0.0001036392],"domain_scores_gemma":[0.999738,0.0001034442,0.00006781203,0.00005659362,0.000001280316,0.00003282526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001204861,0.00001648425,0.6920476,0.00001429758,0.000005756864,0.000001404605,0.0004467528,0.00009994159,0.3070368,1.329189e-8,0.000001975796,0.0003169954],"study_design_scores_gemma":[0.000315094,0.0000198716,0.8628702,0.00004850253,0.000005006728,6.792428e-7,0.001481163,0.0004120496,0.1347904,0.00000202419,0.000002061791,0.00005304008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995991,0.0001974312,2.212307e-7,0.00001852421,0.00004620038,0.00008724951,0.00003119661,0.000001989225,0.00001810644],"genre_scores_gemma":[0.9997473,0.00006814121,0.00008046789,0.00000153528,0.00001316356,0.000001709432,0.00007409963,0.000001785191,0.00001180321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1722464,"threshold_uncertainty_score":0.9756533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02841595212104719,"score_gpt":0.2424551049528481,"score_spread":0.2140391528318009,"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."}}