{"id":"W2031536350","doi":"10.1016/j.scitotenv.2012.10.030","title":"Model development for prediction and mitigation of dissolved oxygen sags in the Athabasca River, Canada","year":2012,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta-Pacific Forest Industries","keywords":"Environmental science; Hydrology (agriculture); Water quality; Sink (geography); Nutrient; Dilution; Biochemical oxygen demand; Chemical oxygen demand; Environmental engineering; Ecology; Wastewater","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006065686,0.0008686715,0.0007344941,0.0006242168,0.001369955,0.00145645,0.001811418,0.001289583,0.001736957],"category_scores_gemma":[0.001441364,0.0005051575,0.0007032081,0.0006348493,0.0004374687,0.0004764918,0.0006476143,0.0008883287,0.0001658981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008660776,"about_ca_system_score_gemma":0.01930446,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9707569,"about_ca_topic_score_gemma":0.9410954,"domain_scores_codex":[0.999819,0.00003187778,0.0000102321,0.00004149597,0.00003939752,0.00005799341],"domain_scores_gemma":[0.9994512,0.0001336994,0.00002833182,0.00001254689,0.0003130652,0.00006102807],"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":[0.0000289064,0.00002864167,0.004398021,0.00001380306,0.00002634863,0.00002189734,0.00001302897,0.9924318,0.0001185525,0.0002927679,0.0006886935,0.001937516],"study_design_scores_gemma":[0.00001630625,0.000008221432,0.001052915,0.000003273137,0.000009380838,0.000001655403,0.00002098315,0.9984743,0.00007934774,0.00009907578,0.0002290833,0.000005540916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9494685,0.0007155343,0.02564448,0.001859248,0.0001521317,0.000214103,0.004543792,0.000926622,0.0164756],"genre_scores_gemma":[0.9898686,0.0002016672,0.00437721,0.00006935655,0.00001352378,0.00007518983,0.001165697,0.00003828144,0.004190501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02924305,"threshold_uncertainty_score":0.06283861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009610168203796916,"score_gpt":0.1845266346917931,"score_spread":0.1749164664879961,"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."}}