{"id":"W2322441848","doi":"10.1002/cjce.22489","title":"Pump and pipeline performance when pumping slurries with different particle gradings","year":2016,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Water Systems and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Slurry; Settling; Pipeline (software); Weighting; Particle (ecology); Homogeneous; Mechanics; Focus (optics); Environmental science; Engineering; Geology; Mechanical engineering; Physics; Thermodynamics; Environmental engineering; Acoustics","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":[0.001225335,0.0003809903,0.0007500316,0.000452154,0.0004550098,0.001149055,0.0004579544,0.00080268,0.002106883],"category_scores_gemma":[0.002956373,0.0002960232,0.0004892859,0.0006054398,0.0004296827,0.001238099,0.0003845061,0.0005871973,0.0005342728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006012626,"about_ca_system_score_gemma":0.0004897756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006300856,"about_ca_topic_score_gemma":0.003346164,"domain_scores_codex":[0.9995614,0.00006972341,0.00004205944,0.00009154932,0.0001332739,0.0001020487],"domain_scores_gemma":[0.9990583,0.0004776585,0.0001118971,0.00007588801,0.0002328929,0.00004339005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0109753,0.0006599857,0.03484343,0.0008144896,0.0001766999,0.0005365902,0.0004545734,0.2179617,0.6736293,0.001064494,0.001267014,0.05761639],"study_design_scores_gemma":[0.0002622005,0.009628079,0.07963979,0.00003693353,0.0002933161,0.0001546394,0.0005768449,0.3186405,0.5880826,0.0004959555,0.002074298,0.0001148159],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947445,0.0001302387,0.003707688,0.00005321158,0.00001262781,0.00002210727,0.0002587193,0.0001202646,0.0009506738],"genre_scores_gemma":[0.9985365,0.00008334088,0.0004974504,0.000008603434,0.000001567478,0.0000103567,0.0001909878,0.00001655622,0.000654523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006300856,"threshold_uncertainty_score":0.01252836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005365467940398703,"score_gpt":0.1400364190732737,"score_spread":0.134670951132875,"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."}}