{"id":"W2026841988","doi":"10.1016/j.biortech.2010.03.037","title":"The effect of environmental and process parameters on flocculation treatment of high dry matter swine manure with polymers","year":2010,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Coagulation and Flocculation Studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Flocculation; Distilled water; Polymer; Mixing (physics); Chemistry; Materials science; Water treatment; Chemical engineering; Chromatography; Environmental engineering; Composite material; Environmental science; Organic chemistry","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":[0.00004660715,0.0001120816,0.000143705,0.00005945888,0.00009777289,0.000003845561,0.00007264489,0.00008030293,0.0001949445],"category_scores_gemma":[0.000005670434,0.00006263264,0.00002299901,0.0001092734,0.0007869799,0.00002024677,0.00003759299,0.00005337985,0.00002028233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002238522,"about_ca_system_score_gemma":0.000001089443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000427478,"about_ca_topic_score_gemma":0.00004213318,"domain_scores_codex":[0.999436,0.00001724079,0.0001308882,0.0001721067,0.0001358909,0.0001079184],"domain_scores_gemma":[0.9995926,0.0000665602,0.0001050817,0.0002137744,0.000001806507,0.0000201966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001477923,0.00003820915,0.9261739,0.000003842359,0.00002544396,5.78288e-7,0.0001309453,0.0001652582,0.01878448,0.00004280287,0.00001055269,0.05447618],"study_design_scores_gemma":[0.0007290657,0.0009031047,0.9366808,0.000003895955,0.00002989347,0.000004092684,0.000123216,0.0001794067,0.06022057,0.000056191,0.0009921495,0.00007759032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988326,0.00003658745,0.00001857973,0.0005643961,0.00002042046,0.0002663589,0.000006342334,0.00002228748,0.0002323835],"genre_scores_gemma":[0.9996906,0.000006411234,0.0001397757,0.00001398623,0.00000475903,0.00002737426,0.000003148288,0.000007265063,0.0001066588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05439859,"threshold_uncertainty_score":0.289966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002495415427725696,"score_gpt":0.198105561380168,"score_spread":0.1956101459524423,"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."}}