{"id":"W2527793868","doi":"10.2495/sdp-v11-n5-792-803","title":"Three clean products from co-mingled waste using a novel hydrodynamic separator","year":2016,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Particle Dynamics in Fluid Flows","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Separator (oil production); Waste management; Environmental science; Clean-up; Process engineering; Environmental engineering; Petroleum engineering; Engineering; Chemistry; Thermodynamics; Chromatography; Extraction (chemistry)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003335105,0.0001537993,0.0001813123,0.0002745214,0.00006824767,0.00008870949,0.0002600522,0.00005454223,0.00001677393],"category_scores_gemma":[0.0001313364,0.0001239782,0.00002920292,0.00009772591,0.0000307399,0.000483493,0.00006395102,0.0001324951,0.000003762936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004289819,"about_ca_system_score_gemma":0.0001443019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007679696,"about_ca_topic_score_gemma":0.000003148973,"domain_scores_codex":[0.9987782,0.000008311137,0.0004475187,0.0001338087,0.0003544799,0.0002777323],"domain_scores_gemma":[0.999218,0.00009495558,0.0001369814,0.00007526697,0.000387315,0.000087495],"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":[0.0009250608,0.0002566993,0.06883998,0.000234211,0.003605732,0.006712917,0.02399589,0.157047,0.6813173,0.004043722,0.002025578,0.05099591],"study_design_scores_gemma":[0.008998908,0.0001356134,0.03532012,0.002447285,0.0001432131,0.0009094439,0.02044032,0.7977984,0.1091436,0.003654341,0.01914432,0.001864443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9430558,0.0002217117,0.05572459,0.00006688007,0.0006129307,0.00007234163,0.000008180596,0.00003156585,0.0002060174],"genre_scores_gemma":[0.9834077,0.00001353141,0.01610268,0.00001855093,0.0003378469,0.000002110172,0.000005561278,0.00002526353,0.00008671151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6407514,"threshold_uncertainty_score":0.5055686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01917492546513304,"score_gpt":0.2534061094714138,"score_spread":0.2342311840062807,"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."}}