{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004282717,0.0005193989,0.0004886583,0.0003384718,0.000400728,0.0007060503,0.0002699729,0.0004865758,0.000739091],"category_scores_gemma":[0.0006099028,0.000154993,0.0003420982,0.0003766804,0.0001573732,0.0003721939,0.0003076205,0.000379621,0.0002731565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004144838,"about_ca_system_score_gemma":0.0005480322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002430128,"about_ca_topic_score_gemma":0.004234049,"domain_scores_codex":[0.9996458,0.00006320712,0.00005162388,0.00005484966,0.0001168385,0.00006776053],"domain_scores_gemma":[0.9997533,0.00007218367,0.00006566102,0.000009968136,0.00006804498,0.00003079015],"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":[0.00005314336,0.00002245753,0.0002580071,0.00007426228,0.000003060179,0.00003526935,0.0000175069,0.0003025127,0.9974004,0.00001453017,0.00002834234,0.001790404],"study_design_scores_gemma":[0.00001300589,0.0003102501,0.002231322,0.00001318015,0.00001663178,0.00004958551,0.00007281206,0.001830545,0.9943673,0.00003238082,0.001050576,0.0000124067],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896492,0.0008961874,0.008302331,0.00009750031,0.00004536689,0.00008528867,0.0001988636,0.00007251718,0.0006527269],"genre_scores_gemma":[0.981685,0.001009771,0.01544062,0.00007333802,0.00002264925,0.00007580983,0.0005817929,0.00004004563,0.001071002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002430128,"threshold_uncertainty_score":0.00483197,"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."}}