{"id":"W1952796943","doi":"10.1139/l09-128","title":"Modelling wastewater effluent mixing and dispersion in a tidal channel","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Water Systems and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Effluent; Dilution; Serial dilution; Stratification (seeds); Wastewater; Environmental science; Inlet; Dispersion (optics); Sewage; Hydrology (agriculture); Environmental engineering; Geology; Geotechnical engineering; Oceanography; Physics","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":[0.0001566633,0.0001021214,0.0001431711,0.0003678134,0.00002358263,0.00005264805,0.00007060728,0.00006855929,0.00001404296],"category_scores_gemma":[0.000009703102,0.00009884456,0.00002895408,0.00008980075,0.000007228557,0.0001980609,0.000004613141,0.0002731302,0.000001015166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005829964,"about_ca_system_score_gemma":0.00003109622,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005610021,"about_ca_topic_score_gemma":0.09670295,"domain_scores_codex":[0.9994121,0.000003781301,0.000230949,0.00005950571,0.00006478457,0.0002288983],"domain_scores_gemma":[0.9996074,0.000009479902,0.00002265897,0.00006218396,0.00002650769,0.0002717946],"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":[7.621369e-7,8.335691e-7,0.0004100049,0.0000481734,0.000007498181,0.00003629684,0.0007163099,0.9970018,0.001667598,0.00002752622,0.00005629408,0.00002694188],"study_design_scores_gemma":[0.0002167892,0.00001076147,0.0003055368,0.0001871423,0.000004941446,0.0001136879,0.00003695057,0.9968268,0.0008409575,0.00001434025,0.001320124,0.0001219924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.940558,0.0006014014,0.05709963,0.00004046431,0.001292236,0.00006099339,0.000002247595,0.00001849359,0.0003265955],"genre_scores_gemma":[0.9991108,0.00001648829,0.0006518177,0.000003309854,0.0001698876,0.000001159577,8.065337e-7,0.00002697679,0.00001871557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09614194,"threshold_uncertainty_score":0.9197799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004986796087734657,"score_gpt":0.1462380781064545,"score_spread":0.1412512820187198,"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."}}