{"id":"W2524904750","doi":"10.11159/icepr16.125","title":"Phosphorus Recovery from Hydrolysed Sewage Sludge Liquid Containing Metals using Donnan Dialysis","year":2016,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phosphorus; Hydrolysis; Dialysis; Sewage sludge; Chemistry; Sewage treatment; Sewage sludge treatment; Enhanced biological phosphorus removal; Sewage; Waste management; Environmental chemistry; Environmental science; Activated sludge; Environmental engineering; Biochemistry; 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":[0.0005127689,0.0005131143,0.0005170255,0.0003386932,0.0002882347,0.0004799322,0.0004303177,0.0005156354,0.0007980962],"category_scores_gemma":[0.0005284046,0.000237266,0.0003831676,0.0003293222,0.0002695935,0.0006098886,0.0005491352,0.0005077268,0.0004569447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003703119,"about_ca_system_score_gemma":0.0004318369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001070456,"about_ca_topic_score_gemma":0.001030771,"domain_scores_codex":[0.9995547,0.00008356641,0.00005246056,0.0001021237,0.0001545435,0.00005263496],"domain_scores_gemma":[0.9998327,0.00004047366,0.00003947137,0.00001934927,0.00005335899,0.00001456154],"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":[0.00004609898,0.000006171941,0.00007349285,0.00003513379,0.000003721022,0.00002157749,0.00001418364,0.00007017949,0.9983102,0.00002072892,0.00001312193,0.001385425],"study_design_scores_gemma":[0.000004852271,0.00008164224,0.0003523213,0.00000337794,0.000006873644,0.00008850516,0.00001236632,0.0007340523,0.997875,0.00001899199,0.0008149653,0.000007005914],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695377,0.001185651,0.02715635,0.0001385318,0.00002585126,0.00004838577,0.0002024524,0.0003143277,0.001390772],"genre_scores_gemma":[0.951398,0.001617226,0.03881181,0.00008885034,0.00001217945,0.00007300924,0.0006764572,0.00009243548,0.007230164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001070456,"threshold_uncertainty_score":0.002711773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0162939346248451,"score_gpt":0.2253745691507554,"score_spread":0.2090806345259103,"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."}}