{"id":"W2008557454","doi":"10.1007/s10661-005-2020-y","title":"Field Evaluation of Mixing Length and Attenuation of Nutrients and Fecal Coliform in a Wastewater Effluent Plume","year":2005,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Plume; Effluent; Environmental science; Fecal coliform; Wastewater; Nutrient; TRACER; Hydrology (agriculture); Panache; Mixing (physics); Water pollution; Water quality; Soil science; Environmental engineering; Environmental chemistry; Chemistry; Geology; Ecology; Meteorology; Geography; Biology; Physics; Geotechnical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003613057,0.0001011776,0.0001288814,0.00003804966,0.00004426386,0.00001086454,0.00003861814,0.00004619291,0.00001571811],"category_scores_gemma":[0.000004591225,0.0000924007,0.00001455085,0.00003587876,0.00008455684,0.0001751622,0.0001376054,0.00007832298,0.000001226808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001861752,"about_ca_system_score_gemma":0.000003127509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001010549,"about_ca_topic_score_gemma":0.000003210453,"domain_scores_codex":[0.9990194,0.00004423123,0.0002298358,0.0002043263,0.0003712589,0.0001309577],"domain_scores_gemma":[0.9997492,0.00003380561,0.00008087627,0.00008324889,0.000001804354,0.0000510713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001832542,0.0001239544,0.9516053,0.00001346554,0.000006452181,3.977375e-7,0.0005897181,0.0004036546,0.004983521,0.000003934101,0.000001526822,0.04224972],"study_design_scores_gemma":[0.001184795,0.0001742805,0.967311,0.00006516282,0.00002965568,0.000003163841,0.0005169499,0.01240949,0.0179435,0.0001841504,0.00007544158,0.0001024647],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99933,0.0001268102,0.00001653931,0.00008503087,0.00005880293,0.0002140332,0.000004281746,0.000003442953,0.0001610651],"genre_scores_gemma":[0.9986886,0.0002359329,0.0009969471,0.000005971143,0.00002631543,0.00002086703,0.000004780813,0.000006161804,0.00001439476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04214725,"threshold_uncertainty_score":0.3767991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217016527425345,"score_gpt":0.2667927990180735,"score_spread":0.25462263374382,"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."}}