{"id":"W3137657114","doi":"10.1007/s10661-021-08963-w","title":"Letter to the editor: Impacts of industrial atmospheric emissions on watershed export of dissolved ions in coastal streams: a Bayesian modeling approach","year":2021,"lang":"en","type":"letter","venue":"Environmental Monitoring and Assessment","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"STREAMS; Watershed; Environmental science; Ecotoxicology; Hydrology (agriculture); Environmental engineering; Meteorology; Environmental chemistry; Engineering; Computer science; Chemistry; Geography","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":[0.004238429,0.0007091208,0.001257291,0.0005887723,0.001797815,0.00313116,0.001604027,0.02370642,0.004004422],"category_scores_gemma":[0.02814238,0.0006522773,0.001010257,0.0006803501,0.001120665,0.001813153,0.0006643931,0.01992855,0.003657853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002230044,"about_ca_system_score_gemma":0.002936265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00626864,"about_ca_topic_score_gemma":0.008748989,"domain_scores_codex":[0.9984335,0.0005475549,0.0002262117,0.0002221305,0.0004162742,0.0001542336],"domain_scores_gemma":[0.9873896,0.007967007,0.000713615,0.0002768272,0.002751109,0.0009018096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005413973,0.00002908212,0.000558369,0.00004522065,0.00002796792,0.0006524121,0.00005259507,0.0002586078,0.00005843665,0.0007450144,0.9921205,0.005397703],"study_design_scores_gemma":[0.0002337311,0.0000937556,0.003405744,0.0004304837,0.0001620017,0.001808363,0.000460426,0.006342612,0.0004914919,0.01095655,0.975492,0.0001227983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005399181,0.0007393949,0.000390428,0.9411992,0.0550673,0.0000136196,0.0001681697,0.00003713878,0.001844928],"genre_scores_gemma":[0.01188463,0.001896591,0.0006935508,0.8274261,0.1477851,0.00006583101,0.00008181652,0.0000900107,0.01007633],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02370642,"threshold_uncertainty_score":0.02241522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01931169646848015,"score_gpt":0.2401976390371013,"score_spread":0.2208859425686212,"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."}}