{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003085985,0.0003205506,0.0004483269,0.0001803544,0.0002032846,0.00007324219,0.001486898,0.0001197696,0.0001701843],"category_scores_gemma":[0.0003344845,0.0001864709,0.0002272845,0.0008883244,0.0004744569,0.0005522727,0.001521257,0.0001852135,0.00004880006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002857855,"about_ca_system_score_gemma":0.00001126585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005158737,"about_ca_topic_score_gemma":0.00005587654,"domain_scores_codex":[0.9979565,0.000009536629,0.0004308175,0.0006153102,0.0005187438,0.0004690948],"domain_scores_gemma":[0.9987586,0.0001440013,0.0005648334,0.0004521634,0.0000200841,0.0000603164],"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":[0.00184476,0.0002580411,0.06963158,0.0000218256,0.0005865629,0.000007926413,0.0002127106,0.0001223184,0.775747,0.00449314,0.0194283,0.1276458],"study_design_scores_gemma":[0.0007833869,0.0002344278,0.001458699,0.0003228661,0.0001531133,8.202469e-7,0.0002823196,0.00009766148,0.9600494,0.01015432,0.02611483,0.0003481807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884772,0.0003485206,0.0000358892,0.004040929,0.0004154676,0.0004352234,0.0000170874,0.0004214029,0.00580824],"genre_scores_gemma":[0.9942359,0.000339932,0.0009951373,0.0001778171,0.00002311267,0.00003422349,5.037786e-7,0.00002940031,0.004163978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1843023,"threshold_uncertainty_score":0.7604061,"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."}}