{"id":"W1983012334","doi":"10.1080/09593330.2004.9619389","title":"Optimizing Settling Conditions For Treatment Of Liquid Hog Manure","year":2004,"lang":"en","type":"article","venue":"Environmental Technology","topic":"Flexible and Reconfigurable Manufacturing Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Niagara; Niagara College","funders":"","keywords":"Settling; Waste management; Liquid manure; Manure; Environmental science; Sewage treatment; Environmental engineering; Pulp and paper industry; Chemistry; Engineering; Agronomy; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00001750965,0.0001369285,0.0002038856,0.0001564613,0.00005875175,0.000003888047,0.00008647329,0.0001632162,0.00003990793],"category_scores_gemma":[0.000001123734,0.0001308129,0.00007280693,0.00004633087,0.00009053817,0.00003830174,0.000009832712,0.00004221523,0.00003197172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000215133,"about_ca_system_score_gemma":0.00000393076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000459638,"about_ca_topic_score_gemma":0.00000230661,"domain_scores_codex":[0.9994205,0.000002650487,0.0001863547,0.000142139,0.0000445543,0.0002037883],"domain_scores_gemma":[0.9997357,0.00001324743,0.00003336193,0.0001905566,0.000001280181,0.00002583483],"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":[0.00002918509,0.0001911337,0.00008609923,0.0001125664,0.0002107097,0.00001316219,0.0004203186,0.2988267,0.6948639,0.001520405,0.00005403408,0.003671804],"study_design_scores_gemma":[0.0009427834,0.0005795117,0.00005267028,0.00003626715,0.00002534196,0.0000334855,0.0004305037,0.0003741292,0.9900609,0.0006961971,0.006614082,0.0001540756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948148,0.001086877,0.00254898,0.0001169994,0.0002152838,0.0003519018,0.00008600512,0.0003289218,0.0004501927],"genre_scores_gemma":[0.9967781,0.0002467545,0.002585277,0.00000578328,0.00003695788,0.000137204,0.00004704222,0.0000312532,0.0001316384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2984526,"threshold_uncertainty_score":0.5334395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007291209605975798,"score_gpt":0.2036655762609444,"score_spread":0.1963743666549687,"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."}}