{"id":"W2154857681","doi":"10.5539/jas.v2n2p17","title":"Agricultural Contamination of Subterranean Water with Nitrates and Nitrites: An Environmental and Public Health Problem","year":2010,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Chemical Analysis and Environmental Impact","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Contamination; Groundwater; Agriculture; Environmental science; Human health; Environmental chemistry; Water contamination; Agricultural productivity; Water resource management; Environmental protection; Chemistry; Environmental health; Ecology; Biology; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003703811,0.000369597,0.0002503655,0.0006572179,0.0008809755,0.001049832,0.000300684,0.001513825,0.001168263],"category_scores_gemma":[0.0003394051,0.0001554366,0.000124719,0.0007867126,0.0008587046,0.0005317641,0.000393138,0.0003902008,0.0003635887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006109151,"about_ca_system_score_gemma":0.0007012041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005645928,"about_ca_topic_score_gemma":0.006662188,"domain_scores_codex":[0.9996763,0.00004605846,0.00002597,0.00006611427,0.0001342639,0.00005120968],"domain_scores_gemma":[0.9996089,0.00006685912,0.0001808662,0.0000123397,0.00009521791,0.00003583177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009389863,0.0006223906,0.3619118,0.002698827,0.0001285257,0.01877934,0.003813696,0.001012615,0.2166549,0.003228092,0.009948269,0.3802627],"study_design_scores_gemma":[0.0000592711,0.001839818,0.578524,0.0006982887,0.0004175076,0.08480249,0.01601435,0.002850405,0.09302904,0.01393759,0.2076892,0.0001381525],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9404679,0.03982694,0.00216508,0.01084973,0.000169352,0.00003125401,0.0002801662,0.0000717208,0.006137681],"genre_scores_gemma":[0.9595425,0.03166888,0.001654491,0.001311725,0.0003334268,0.00001269288,0.0002477461,0.000009050238,0.005219509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005645928,"threshold_uncertainty_score":0.01122612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008699157131379885,"score_gpt":0.2009039760839303,"score_spread":0.1922048189525504,"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."}}