{"id":"W2001614296","doi":"10.1061/(asce)0733-9372(2000)126:2(138)","title":"Optimization Study of Flocculation Mixing by Means of Grids","year":2000,"lang":"en","type":"article","venue":"Journal of Environmental Engineering","topic":"Particle Dynamics in Fluid Flows","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cochrane; University of Alberta","funders":"University of Alberta","keywords":"Solidity; Turbidity; Impeller; Mixing (physics); Mechanics; Flocculation; Particle (ecology); Turbulence; Agitator; Environmental science; Materials science; Geology; Environmental engineering; Computer science; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0004132363,0.0007117019,0.0005684277,0.0003982658,0.0002339526,0.0004986695,0.0003219226,0.0002526281,0.0004572591],"category_scores_gemma":[0.0009371012,0.0002389462,0.0003053443,0.0004329242,0.0002198072,0.000326358,0.0003527559,0.0002346105,0.0002068536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002838538,"about_ca_system_score_gemma":0.0001951736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007129615,"about_ca_topic_score_gemma":0.0008780697,"domain_scores_codex":[0.9996895,0.00006372976,0.00003740878,0.00006892887,0.00009291365,0.00004757279],"domain_scores_gemma":[0.9996557,0.0001077458,0.0001086634,0.00003595786,0.00005743616,0.00003440402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004335423,0.00009026836,0.002376254,0.0002496453,0.00003315076,0.0001375239,0.00006091081,0.01501522,0.961231,0.0003700791,0.0001264249,0.01987608],"study_design_scores_gemma":[0.00009691876,0.001180313,0.004645078,0.00001952678,0.00006313864,0.0001323172,0.00005263781,0.03988064,0.9510323,0.0001464748,0.002728237,0.00002234896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687058,0.0004975408,0.02935556,0.00004746719,0.00004694211,0.0001079102,0.00006889949,0.0001645992,0.001005374],"genre_scores_gemma":[0.9549328,0.0004443152,0.0437453,0.00001605944,0.00001339047,0.00008028427,0.00009910939,0.00005090837,0.0006178001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007129615,"threshold_uncertainty_score":0.002185464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002858936370031712,"score_gpt":0.1659901789599964,"score_spread":0.1631312425899647,"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."}}