{"id":"W4320729733","doi":"10.3390/membranes13020226","title":"Second-Generation Magnesium Phosphates as Water Extractant Agents in Forward Osmosis and Subsequent Use in Hydroponics","year":2023,"lang":"en","type":"article","venue":"Membranes","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundación Bancaria Caixa d'Estalvis i Pensions de Barcelona; Agència per a la Competitivitat de l’Empresa; Ministerio de Ciencia e Innovación; Generalitat de Catalunya; European Commission; Agencia Estatal de Investigación; Ministerio de Ciencia, Innovación y Universidades; “la Caixa” Foundation; Centres de Recerca de Catalunya; Canadian Institute for Advanced Research","keywords":"Hydroponics; Chemistry; Struvite; Forward osmosis; Wastewater; Nutrient; Dilution; Phosphate; Lactuca; Reverse osmosis; Nitrate; Magnesium; Effluent; Solubility; Environmental chemistry; Pulp and paper industry; Environmental engineering; Agronomy; Environmental science; Membrane; Biochemistry; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002446778,0.0005235326,0.0002878716,0.0003278405,0.0001795297,0.0004477316,0.0003795586,0.0005864528,0.0005089115],"category_scores_gemma":[0.0002172155,0.0002132315,0.0003654957,0.0002454942,0.0002146721,0.0005366126,0.0004319427,0.0006017659,0.0003822471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003880363,"about_ca_system_score_gemma":0.0002416502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006334233,"about_ca_topic_score_gemma":0.001296397,"domain_scores_codex":[0.9998088,0.0000325064,0.00001189918,0.00004276848,0.00007636655,0.00002761865],"domain_scores_gemma":[0.9999282,0.00001252727,0.00001955397,0.000008895898,0.00001620602,0.00001451898],"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":[0.00002982153,0.00001373743,0.00008113347,0.0001046463,0.000005177947,0.00005404928,0.00001189911,0.00008365985,0.9953205,0.0001263284,0.00003932678,0.004129604],"study_design_scores_gemma":[0.000004861225,0.0001110462,0.0003442701,0.000007895184,0.000007221739,0.00008514326,0.00001002014,0.000276467,0.9952036,0.00004047015,0.003904683,0.000004334145],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9230072,0.02117178,0.04725627,0.000710095,0.0002195086,0.0001968528,0.00034085,0.0004504737,0.006647007],"genre_scores_gemma":[0.9655119,0.006500327,0.02216379,0.0001279755,0.00003224666,0.00006435793,0.0001866266,0.00004882813,0.00536395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006334233,"threshold_uncertainty_score":0.002815425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02826693871285898,"score_gpt":0.2413039974116932,"score_spread":0.2130370586988342,"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."}}