{"id":"W2803115615","doi":"10.2166/ws.2001.0021","title":"Field measurement and modelling of two-dimensional river mixing","year":2001,"lang":"en","type":"article","venue":"Water Science & Technology Water Supply","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Saskatchewan","funders":"","keywords":"Effluent; Plume; TRACER; Mixing (physics); STREAMS; Environmental science; Hydrology (agriculture); Panache; Water quality; Wastewater; Geology; Environmental engineering; Meteorology; Geotechnical engineering; Geography; Ecology; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004823805,0.0003249497,0.000293958,0.0005163741,0.0003776223,0.001010398,0.0006177136,0.0007788634,0.0007603774],"category_scores_gemma":[0.001159789,0.0002980519,0.0002953871,0.0009186552,0.0003958708,0.0005489766,0.0003956814,0.0004942557,0.0001899171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001079288,"about_ca_system_score_gemma":0.0006257545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01007085,"about_ca_topic_score_gemma":0.008496026,"domain_scores_codex":[0.9997755,0.00003761373,0.00001709905,0.00007224057,0.00007198158,0.000025686],"domain_scores_gemma":[0.9995465,0.0002174184,0.00004802219,0.00006337067,0.00009755253,0.00002712946],"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":[0.0002131097,0.0004283438,0.02143639,0.0002534156,0.0000329923,0.0001496971,0.0003104964,0.7735789,0.1396816,0.002957515,0.0006319871,0.06032566],"study_design_scores_gemma":[0.00002756635,0.000135411,0.006911375,0.000008462919,0.00001096309,0.0000274225,0.00004422406,0.9718711,0.01923989,0.0006749235,0.001022854,0.00002586632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7842833,0.000299332,0.2074407,0.0001086429,0.00003183645,0.0002083019,0.001287693,0.0009591178,0.005381044],"genre_scores_gemma":[0.9658568,0.0002073911,0.03245684,0.00001101404,0.000003424556,0.0001277811,0.0004760378,0.00001796942,0.0008426468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01007085,"threshold_uncertainty_score":0.02002448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01644902012168091,"score_gpt":0.2022889155186397,"score_spread":0.1858398953969588,"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."}}