{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001213902,0.00008247902,0.000106226,0.00002691672,0.00004657113,0.0000432177,0.0002448814,0.000056732,0.0001732518],"category_scores_gemma":[0.000204824,0.00005317354,0.00001728172,0.00006420286,0.00007459791,0.0001343819,0.0000297336,0.0001872161,0.00001380024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008118765,"about_ca_system_score_gemma":0.00001384271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008555379,"about_ca_topic_score_gemma":0.000163669,"domain_scores_codex":[0.9994646,0.000006494113,0.0001486945,0.00008175086,0.0001174651,0.0001810465],"domain_scores_gemma":[0.9996276,0.00005240789,0.00004083238,0.0000960496,0.000009075051,0.00017398],"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":[0.000006309031,0.000003915397,0.0007314439,0.00002347139,0.00001543353,0.000004588539,0.0004568343,0.005366999,0.9909682,0.00001881113,0.001311182,0.001092768],"study_design_scores_gemma":[0.0001487089,0.00001833042,0.0001068428,0.00003495986,0.000009508242,0.00002742289,0.000009829974,0.001417281,0.9860483,0.0003382704,0.01174441,0.00009606581],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985676,0.0001205379,0.0003231714,0.0006732629,0.00005841281,0.00003873429,0.000003030768,0.0000132829,0.0002019352],"genre_scores_gemma":[0.9993086,0.000006303982,0.0005189548,0.0000683501,0.00004088476,0.000001466321,0.000002217918,0.000009342122,0.00004389028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01043323,"threshold_uncertainty_score":0.2168354,"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."}}