{"id":"W2898205156","doi":"10.1680/jenes.18.00019","title":"Travelling waste water screen sizing and performance, UK","year":2018,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sizing; Process engineering; Computer science; Environmental science; Control (management); Waste management; Operations management; Risk analysis (engineering); Business; Engineering","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":[0.0007048352,0.0001031444,0.0001103578,0.00009865335,0.0001896782,0.00006311352,0.0001805315,0.00002427402,0.00009488698],"category_scores_gemma":[0.000008402497,0.00007280189,0.00002132599,0.00009534296,0.0005208619,0.0003928423,0.00019843,0.0001130489,0.000009978727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005328951,"about_ca_system_score_gemma":0.000001876708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004328469,"about_ca_topic_score_gemma":2.141644e-7,"domain_scores_codex":[0.9990722,0.000005655727,0.0002018322,0.0001653444,0.0003146328,0.0002403219],"domain_scores_gemma":[0.9997153,0.00001167705,0.00005664272,0.00008942602,0.000002525287,0.0001243942],"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":[0.00002633486,0.00003531757,0.04724022,0.00001654684,0.00001298143,0.00001243054,0.001092363,0.005215498,0.8492572,0.00002136843,0.00005809477,0.09701162],"study_design_scores_gemma":[0.0007604363,0.001735445,0.3529077,0.0002285113,0.00005474784,0.0004434018,0.0005637595,0.1775908,0.4573408,0.0001062973,0.007594896,0.0006732005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970663,0.00007695115,0.001534765,0.00003371048,0.0000893267,0.00004155197,4.544514e-7,0.00001106744,0.001145901],"genre_scores_gemma":[0.9941971,0.0003476918,0.005201337,0.00003356566,0.00008439463,4.712933e-7,1.220568e-7,0.000007205142,0.0001280604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3919165,"threshold_uncertainty_score":0.2968775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004815866526856747,"score_gpt":0.1766907106111798,"score_spread":0.1718748440843231,"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."}}