{"id":"W2471031780","doi":"10.1007/s11356-016-6979-4","title":"Assessment of sulfide production risk in soil during the infiltration of domestic wastewater treated by a sulfur-utilizing denitrification process","year":2016,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cégep de Rivière-du-Loup; Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Denitrification; Sulfur; Wastewater; Chemistry; Sulfide; Environmental chemistry; Sulfate; Infiltration (HVAC); Chemical oxygen demand; Organic matter; Soil water; Nitrogen; Environmental engineering; Environmental science; Soil science","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":[0.0003351676,0.0003276508,0.0003018708,0.0002917105,0.0002252275,0.000449537,0.0002137667,0.0004681375,0.0002440566],"category_scores_gemma":[0.0003569657,0.0001304384,0.0003665537,0.0002270243,0.0001687523,0.0002093574,0.0002633606,0.0001793182,0.0000560769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003489813,"about_ca_system_score_gemma":0.0003039258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002716668,"about_ca_topic_score_gemma":0.002788684,"domain_scores_codex":[0.9997815,0.0000480772,0.00001893715,0.00003869771,0.00008028904,0.00003245803],"domain_scores_gemma":[0.9997464,0.00007705073,0.00007988091,0.000009624982,0.00006085068,0.00002622767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003072068,0.0003574325,0.1083422,0.0001471701,0.0001211746,0.0004524156,0.000222358,0.01003385,0.8673965,0.0001292056,0.00006938746,0.009656211],"study_design_scores_gemma":[0.00008022576,0.007199235,0.1791421,0.00002200023,0.000245733,0.000378368,0.000757613,0.05727089,0.7540426,0.0002407911,0.0005747418,0.00004585342],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995787,0.00002873377,0.0002413159,0.000003426504,9.439111e-7,0.000004494717,0.00003086714,0.00000259524,0.0001089878],"genre_scores_gemma":[0.9994223,0.00006026473,0.0002108244,0.000003181783,8.784754e-7,0.000004101415,0.00006835789,0.00000106086,0.0002291268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002716668,"threshold_uncertainty_score":0.005401671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472781776967507,"score_gpt":0.3081542845957534,"score_spread":0.2934264668260783,"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."}}