{"id":"W2994321837","doi":"10.2175/193864715819558055","title":"Industry Update for WASSTRIP® impacts on nutrient flows, digestion and dewatering of EBPR solids","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Water Environment Federation","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ostara Nutrient Recovery Technologies (Canada)","funders":"","keywords":"Dewatering; Nutrient; Digestion (alchemy); Environmental science; Pulp and paper industry; Natural resource economics; Chemistry; Waste management; Business; Economics; Engineering; Biology; Ecology; Geotechnical engineering; Chromatography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006463728,0.001478031,0.0008034245,0.003390599,0.001210487,0.002997103,0.002785935,0.004406154,0.01658464],"category_scores_gemma":[0.005566667,0.0006718907,0.001806707,0.002297919,0.0005143377,0.002019017,0.001514686,0.003294548,0.0114015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001952869,"about_ca_system_score_gemma":0.005616861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0179561,"about_ca_topic_score_gemma":0.02594167,"domain_scores_codex":[0.9935997,0.0003343853,0.0003484233,0.0003074761,0.005037565,0.0003725239],"domain_scores_gemma":[0.9877713,0.0009123596,0.0007434484,0.0004618739,0.009600742,0.0005103055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001040207,0.001109012,0.002611435,0.001396506,0.000121461,0.0005200627,0.0001252738,0.001863174,0.03521428,0.002380525,0.6841669,0.2694512],"study_design_scores_gemma":[0.00005172344,0.0004261832,0.004022547,0.0002840834,0.0001069859,0.0001319398,0.00007946164,0.0005204047,0.01452413,0.0006707873,0.9791359,0.00004578206],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07937955,0.05899363,0.06332087,0.08095332,0.03854376,0.002406952,0.1081454,0.01372746,0.5545291],"genre_scores_gemma":[0.1508444,0.04514147,0.07613938,0.03320678,0.005249991,0.002211308,0.1081289,0.0034397,0.5756381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0179561,"threshold_uncertainty_score":0.05548114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01558841014598369,"score_gpt":0.2176996695497636,"score_spread":0.2021112594037799,"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."}}