{"id":"W2103109835","doi":"10.14796/jwmm.r207-10","title":"Re-oxygenation Coefficient in QUAL2E: a Prediction Methodology","year":2001,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Oxygenation; Biochemical oxygen demand; Oxygen; Environmental science; Water quality; Computer science; Chemical oxygen demand; Chemistry; Environmental engineering; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002512406,0.00008660978,0.0001663334,0.0002339265,0.00005659251,0.00003114166,0.0001676881,0.00003764596,0.000117098],"category_scores_gemma":[0.00001337518,0.00006134834,0.00007972215,0.0001884061,0.00001601041,0.0002346241,0.0001045492,0.00012633,0.00003508961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001991928,"about_ca_system_score_gemma":0.000001395674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001220844,"about_ca_topic_score_gemma":0.0000101431,"domain_scores_codex":[0.9984924,0.0002069581,0.0005514497,0.0001522688,0.0003855079,0.0002114048],"domain_scores_gemma":[0.9996895,0.00001569019,0.0001089031,0.0001209893,0.00001751595,0.00004745042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004080031,0.00008724646,0.004811508,0.000008891516,0.00003300097,0.00004683346,0.00162722,0.9855136,0.004684754,0.00001199121,0.00008544068,0.003048671],"study_design_scores_gemma":[0.001048926,0.0001348809,0.002106632,0.00008655796,0.0001386299,0.00002334112,0.003425691,0.9807922,0.006214477,0.003665752,0.002157857,0.0002050053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7210504,0.00001376832,0.2773367,0.0006231064,0.0001909532,0.00004884,2.128292e-7,0.000008846225,0.0007271968],"genre_scores_gemma":[0.9913688,0.00007403635,0.007958901,0.0000484712,0.00009534341,0.000002412002,0.000002209571,0.000007255156,0.0004425833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2703184,"threshold_uncertainty_score":0.2501712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08187826584666537,"score_gpt":0.3043811630823862,"score_spread":0.2225028972357209,"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."}}