{"id":"W2085249544","doi":"10.2166/wqrjc.2014.030","title":"Experimental and numerical investigation of the breakage of wastewater flocs in orifice flow","year":2014,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Water Systems and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Toronto","funders":"Canadian Water Network","keywords":"Breakage; Body orifice; Particle (ecology); Mechanics; Orifice plate; Wastewater; Effluent; Volumetric flow rate; Flow (mathematics); Materials science; Environmental engineering; Environmental science; Composite material; Engineering; Physics; Mechanical engineering; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002666597,0.00006677077,0.0001567228,0.0001075727,0.00005999505,0.00004270633,0.0001408248,0.00005372104,0.00002206416],"category_scores_gemma":[0.00003796624,0.00003753964,0.0000381694,0.0001227483,0.000101582,0.0001534339,0.00006368993,0.0002756375,0.000002536264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000459307,"about_ca_system_score_gemma":0.0000113268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001362436,"about_ca_topic_score_gemma":0.00001118254,"domain_scores_codex":[0.9982114,0.0006789922,0.0004129489,0.00008070141,0.0004035071,0.0002124131],"domain_scores_gemma":[0.9996165,0.00004469264,0.00003198546,0.0001461237,0.00009230636,0.00006835865],"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":[0.00004517875,0.0000382181,0.02004362,0.0002853733,0.00002998625,0.000001754662,0.01443297,0.02810162,0.9359074,0.000218632,0.0005457791,0.0003494597],"study_design_scores_gemma":[0.0004499838,0.0000570833,0.01182291,0.00009903036,0.00000191651,0.00002220376,0.0005312428,0.03720529,0.9491841,0.0003362708,0.000220391,0.00006960681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973532,0.00006483316,0.001901317,0.0001641609,0.0001407686,0.0001001519,0.000002109091,0.000006495453,0.0002669763],"genre_scores_gemma":[0.9993184,0.000003779701,0.000492188,0.000003621641,0.00007773285,0.000003995672,0.00000210042,0.00001054259,0.00008763327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01390173,"threshold_uncertainty_score":0.1530822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05206829347373288,"score_gpt":0.3100918898128487,"score_spread":0.2580235963391159,"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."}}