{"id":"W2035053814","doi":"10.2134/jeq2001.3011","title":"Bioremediation of Residual Fertilizer Nitrate","year":2001,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; McGill University","funders":"","keywords":"Bioremediation; Biostimulation; Nitrate; Fertilizer; Environmental chemistry; Nutrient; Environmental science; Biodegradation; Chemistry; Subsoil; Environmental engineering; Soil water; Soil science; Contamination; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003900175,0.0004664637,0.0006353983,0.0001219328,0.000227516,0.0006642343,0.0005497448,0.0005130632,0.000350961],"category_scores_gemma":[0.0002891686,0.0001003675,0.0003014012,0.0001086975,0.0002104833,0.0002920119,0.0004873375,0.0003751776,0.0001450414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005692263,"about_ca_system_score_gemma":0.0005224855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002258506,"about_ca_topic_score_gemma":0.00388766,"domain_scores_codex":[0.9995632,0.00008170949,0.00003287206,0.0001275324,0.0001367439,0.00005785137],"domain_scores_gemma":[0.9998329,0.00003270866,0.00004797085,0.00001597042,0.00004904512,0.0000215388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003819706,0.00005004279,0.0002690445,0.00007432981,0.000003737429,0.00002321011,0.00001150577,0.0001872028,0.9968517,0.00002303245,0.00001377214,0.002454243],"study_design_scores_gemma":[0.000009481135,0.001187618,0.001519118,0.00001421956,0.00001094391,0.00008712681,0.00004593757,0.001042409,0.9948602,0.00002698831,0.001190282,0.000005798693],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885871,0.0008043036,0.008858657,0.0001078066,0.00003693244,0.0001735688,0.0001571304,0.00005832246,0.001216272],"genre_scores_gemma":[0.9757697,0.001315817,0.0204131,0.00009518087,0.00002101145,0.0001033934,0.0002250549,0.00002043172,0.002036329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002258506,"threshold_uncertainty_score":0.004490674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316142802879335,"score_gpt":0.2601496605796708,"score_spread":0.2369882325508775,"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."}}