{"id":"W2045997135","doi":"10.1002/cjce.22125","title":"Water and nutrients recovering from livestock manure by membrane processes","year":2014,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Digestate; Chemistry; Anaerobic digestion; Reverse osmosis; Biogas; Ultrafiltration (renal); Pulp and paper industry; Environmental chemistry; Membrane fouling; Manure; Effluent; Membrane technology; Total dissolved solids; Filtration (mathematics); Fouling; Chromatography; Membrane; Waste management; Environmental engineering; Environmental science; Methane; Agronomy; Organic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002082644,0.000349287,0.0003367937,0.0003727974,0.0003857822,0.0005515674,0.0002692896,0.0004206777,0.0008902946],"category_scores_gemma":[0.0002142819,0.0001257855,0.0003851709,0.0003081271,0.000174817,0.0005168392,0.0003572084,0.0004215928,0.000455366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003388551,"about_ca_system_score_gemma":0.000347218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002549775,"about_ca_topic_score_gemma":0.003550402,"domain_scores_codex":[0.9998398,0.00001970001,0.000009225323,0.00002397263,0.0000619632,0.00004538798],"domain_scores_gemma":[0.999959,0.000008260005,0.00000754039,0.000004354622,0.00001491265,0.000006007006],"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":[0.00005269624,0.00002038762,0.0002264025,0.00009806244,0.000004484531,0.0001010324,0.00002738022,0.0002082144,0.9915199,0.00009553883,0.00006332945,0.007582536],"study_design_scores_gemma":[0.000005973261,0.0001153762,0.001250547,0.00001305838,0.00001252367,0.0001281879,0.00006671548,0.001018039,0.9931341,0.0001120226,0.004135681,0.000007692365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840853,0.002081788,0.01021708,0.0001374841,0.00004550743,0.00005554278,0.0001666473,0.0001363533,0.003074335],"genre_scores_gemma":[0.9792393,0.001997361,0.01385393,0.00009620589,0.00001572421,0.00004196263,0.0002664617,0.00003792205,0.004451013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002549775,"threshold_uncertainty_score":0.005069852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004706986145849665,"score_gpt":0.1652710314914224,"score_spread":0.1605640453455728,"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."}}