{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001813919,0.001023066,0.0007706754,0.001069969,0.0004203526,0.001204454,0.001761413,0.0009408726,0.002055834],"category_scores_gemma":[0.002921663,0.000507064,0.0008365107,0.001236662,0.0004600802,0.001753142,0.0009594571,0.001429821,0.001183292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009276687,"about_ca_system_score_gemma":0.000761016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003966676,"about_ca_topic_score_gemma":0.00246931,"domain_scores_codex":[0.9991628,0.0001472063,0.00006629491,0.0001524881,0.0004140249,0.00005721534],"domain_scores_gemma":[0.9990809,0.0002874304,0.0001461347,0.00009854213,0.0003619561,0.00002505668],"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":[0.00006691887,0.0001242167,0.003893966,0.0002890891,0.0000589783,0.0001870305,0.0001337577,0.7261572,0.01393568,0.05241816,0.005161891,0.197573],"study_design_scores_gemma":[0.000005275516,0.00003031603,0.0004921955,0.00001503603,0.000009680763,0.00004349546,0.00001526719,0.979409,0.006448607,0.005586345,0.007921936,0.0000228275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00586443,0.0003313754,0.9903431,0.0000946712,0.00003637255,0.00008412758,0.0002467549,0.0008172492,0.002181956],"genre_scores_gemma":[0.2839862,0.001821177,0.7018877,0.0001830956,0.00009998425,0.0007596863,0.001441985,0.0007021678,0.009118029],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003966676,"threshold_uncertainty_score":0.00959301,"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."}}