{"id":"W2982184591","doi":"10.1021/acs.est.9b06150","title":"Phosphorus Speciation in Atmospherically Deposited Particulate Matter and Implications for Terrestrial Ecosystem Productivity","year":2020,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Basic Energy Sciences; National Research Council Canada; Lawrence Berkeley National Laboratory; Western Economic Diversification Canada; Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of California Merced; U.S. Department of Energy; Canadian Light Source; National Science Foundation","keywords":"Environmental chemistry; Particulates; Genetic algorithm; Phosphorus; Organic matter; Biogeochemistry; Radiogenic nuclide; Chemistry; Ecosystem; Flux (metallurgy); Productivity; XANES; Isotope; Ecology; Spectroscopy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001885463,0.000222075,0.0001569096,0.000612721,0.0005778265,0.0006552318,0.0001774109,0.0003072362,0.0005350707],"category_scores_gemma":[0.0002492841,0.0001745215,0.000115117,0.0005257707,0.0003358305,0.0005149532,0.0003236503,0.0001698982,0.00009144053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005237625,"about_ca_system_score_gemma":0.0002752852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01827569,"about_ca_topic_score_gemma":0.02085432,"domain_scores_codex":[0.9999229,0.000009946114,0.000004790876,0.00003613755,0.0000127442,0.00001356377],"domain_scores_gemma":[0.9998738,0.00003196736,0.00003587256,0.000004336237,0.00003539385,0.000018635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001433303,0.00005455615,0.8907735,0.0001065407,0.00008647778,0.0002257082,0.0003263038,0.001152114,0.09147963,0.00023596,0.0001111343,0.01530467],"study_design_scores_gemma":[0.000002517694,0.00004141765,0.9963266,0.000005762751,0.00001049064,0.00007287021,0.0002273298,0.0008156747,0.002032538,0.0001946746,0.0002670435,0.000003063123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998405,0.0005866865,0.000250236,0.00004956996,0.000001580609,0.000002205923,0.0001334971,0.00000600368,0.0005651712],"genre_scores_gemma":[0.9991747,0.0003500682,0.0002007383,0.00001234113,0.000003812992,0.000001952857,0.0001166232,0.000002476081,0.0001373019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01827569,"threshold_uncertainty_score":0.03633863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006488831150654786,"score_gpt":0.1995590317945769,"score_spread":0.1930702006439221,"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."}}