{"id":"W2011964030","doi":"10.2166/wst.2011.550","title":"Calibration of a simple model for waste stabilisation pond performance in seasonal climates","year":2011,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Facultative; Environmental science; Calibration; Biochemical oxygen demand; Stabilization pond; Seasonality; Hydrology (agriculture); Range (aeronautics); Facultative lagoon; Constant (computer programming); Atmospheric sciences; Environmental engineering; Ecology; Wastewater; Biology; Chemical oxygen demand; Geology; Mathematics; Statistics; Engineering","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":[0.0002758753,0.0001019421,0.0001221115,0.0002789635,0.0001000249,0.00001017677,0.0003611206,0.00007020313,0.000101002],"category_scores_gemma":[0.00001581063,0.00007299645,0.00001948385,0.0005775758,0.0008973835,0.0005473066,0.0002455815,0.00005257851,0.000008703071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001553331,"about_ca_system_score_gemma":0.00003043918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000657347,"about_ca_topic_score_gemma":0.0001894916,"domain_scores_codex":[0.9988581,0.000006974919,0.0002298812,0.0003338945,0.0001864449,0.0003847193],"domain_scores_gemma":[0.9996226,0.000005964935,0.0000568731,0.0002586788,0.00001916993,0.00003665871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004915298,0.00009491917,0.6332461,0.00001344847,0.000001999393,7.79072e-7,0.003560064,0.006043337,0.350218,0.0005752078,0.000003326787,0.006193688],"study_design_scores_gemma":[0.0002551987,0.0001287538,0.00381361,0.000004646734,0.000003648383,0.000004464876,0.0002044078,0.3710191,0.6190973,0.005386864,0.000008384736,0.00007363183],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952737,0.000002424508,0.003921738,0.0001042469,0.00003126116,0.000317012,0.00001010237,0.0000444762,0.0002950427],"genre_scores_gemma":[0.9929557,0.000002189532,0.006904728,0.000009254839,0.000002210421,0.0000792702,0.000008645843,0.000006283642,0.00003176218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6294325,"threshold_uncertainty_score":0.3306447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01690556807869548,"score_gpt":0.2154343436263753,"score_spread":0.1985287755476798,"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."}}