{"id":"W2902773746","doi":"10.6000/1929-6037.2018.07.02","title":"Effect of Grit Chamber Configuration on Particle Removal: Using Response Surface Method","year":2018,"lang":"en","type":"article","venue":"Journal of Membrane and Separation Technology","topic":"Agriculture, Soil, Plant Science","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grit; Particle (ecology); Response surface methodology; Particle size; Materials science; Chemistry; Chemical engineering; Chromatography; Psychology; Engineering; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001449553,0.0009162338,0.001084363,0.0003312789,0.0002486887,0.000742006,0.0006314059,0.001143034,0.000575833],"category_scores_gemma":[0.001589904,0.0003772042,0.0008349482,0.0003971046,0.0002677234,0.0004588062,0.0003407906,0.0005546057,0.0002948536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002606227,"about_ca_system_score_gemma":0.0003230651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00168832,"about_ca_topic_score_gemma":0.001985252,"domain_scores_codex":[0.9987557,0.0003192249,0.000118388,0.0003026437,0.0003823148,0.0001218219],"domain_scores_gemma":[0.9991579,0.0004988647,0.0001217192,0.00007019434,0.0001182758,0.00003298526],"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":[0.0002766771,0.0001551731,0.0007587111,0.0001645766,0.00002697486,0.00004737524,0.00005811769,0.001081654,0.9934574,0.00001955909,0.00003119774,0.003922513],"study_design_scores_gemma":[0.00002720062,0.002023353,0.005617345,0.000008011875,0.00006016247,0.00008116409,0.00004766615,0.007852717,0.9836529,0.00001982219,0.0005711546,0.00003851452],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829409,0.00125819,0.01441392,0.00011017,0.00007666122,0.0001963078,0.0001845233,0.0001917766,0.0006275507],"genre_scores_gemma":[0.9640397,0.001666306,0.03301059,0.0001194882,0.00002276417,0.0001499335,0.0002602256,0.0000506329,0.0006803704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00168832,"threshold_uncertainty_score":0.007666051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885810271039243,"score_gpt":0.311361197742229,"score_spread":0.2925030950318366,"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."}}