{"id":"W2005018042","doi":"10.1111/j.1745-6592.2009.01231.x","title":"Rates of Nitrate and Perchlorate Removal in a 5‐Year‐Old Wood Particle Reactor Treating Agricultural Drainage","year":2009,"lang":"en","type":"article","venue":"Groundwater Monitoring & Remediation","topic":"Chemical Analysis and Environmental Impact","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nitrate; Drainage; Perchlorate; Environmental science; Particle (ecology); Hydraulic conductivity; Environmental engineering; Hydraulic retention time; Environmental chemistry; Chemistry; Hydrology (agriculture); Wastewater; Soil science; Soil water; Ecology; Geotechnical engineering; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000171843,0.0001233251,0.0001560751,0.00002248375,0.00004653615,0.00004925382,0.00006778201,0.00005129065,0.00004911287],"category_scores_gemma":[0.00003110379,0.00009294939,0.00004007915,0.0001832814,0.00005199255,0.0004548577,0.00004198113,0.0001040179,0.00002176994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001932182,"about_ca_system_score_gemma":0.000001554606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001002251,"about_ca_topic_score_gemma":0.00005820011,"domain_scores_codex":[0.9990214,0.00003846541,0.0002557108,0.000225709,0.0002173711,0.0002413496],"domain_scores_gemma":[0.9996895,0.00002797191,0.00008861304,0.0001053606,0.000004183326,0.00008434231],"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":[0.00001529993,0.00006173073,0.3010114,0.000002512316,0.000003670319,0.000004538321,0.0006746628,0.00006007471,0.6939763,0.000005931123,0.000002465784,0.004181389],"study_design_scores_gemma":[0.000266453,0.00006923737,0.7368334,0.00001982316,0.00001218859,0.000004219281,0.0003183377,0.0002367599,0.2618857,0.000249989,0.000008273407,0.00009562591],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991361,0.00002677933,0.0000096664,0.0001523208,0.00003754672,0.00008697675,7.649318e-7,0.00001533498,0.0005344888],"genre_scores_gemma":[0.9992258,0.00003578564,0.0004560021,0.0000108681,0.00007428098,0.000004435124,0.00001077133,0.000005888895,0.000176181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.435822,"threshold_uncertainty_score":0.3790366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01461489132942234,"score_gpt":0.2365315574867979,"score_spread":0.2219166661573756,"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."}}