{"id":"W4308518902","doi":"10.3390/w14213573","title":"Treatment and Recycle of Greenhouse Nutrient Feed Water Applying Hydrochar and Activated Carbon Followed by Reverse Osmosis","year":2022,"lang":"en","type":"article","venue":"Water","topic":"Composting and Vermicomposting Techniques","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture, Food and Rural Affairs; University of Ottawa; University of Guelph","funders":"","keywords":"Nutrient; Reverse osmosis; Eutrophication; Chemistry; Greenhouse; Environmental science; Agronomy; Environmental engineering; Environmental chemistry; Pulp and paper industry; Membrane; Biology","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":[0.0001169924,0.0003258792,0.0002309711,0.0003351692,0.0001981534,0.0002165627,0.000209487,0.0002982159,0.0008630925],"category_scores_gemma":[0.00009807779,0.00009559278,0.0004119802,0.0002259461,0.0001435064,0.0002059045,0.0001954793,0.0003440242,0.0002358229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002724932,"about_ca_system_score_gemma":0.0003320134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001829896,"about_ca_topic_score_gemma":0.004954864,"domain_scores_codex":[0.9998971,0.000006520004,0.000006824511,0.00002180977,0.00004639933,0.00002142922],"domain_scores_gemma":[0.9999559,0.000006194048,0.00001141623,0.000004683094,0.00001550333,0.000006284286],"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":[0.00006720915,0.00002986774,0.0006560084,0.0001812155,0.000007516698,0.0001565483,0.00002488385,0.0004116751,0.991834,0.00006780957,0.00009865585,0.006464646],"study_design_scores_gemma":[0.00000833072,0.0002571843,0.003109997,0.00001738195,0.0000126484,0.0001282333,0.00005094816,0.0009143811,0.9921336,0.0000451731,0.00331138,0.00001080362],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929005,0.0005570019,0.00426264,0.00006866478,0.00003398997,0.0001018804,0.0003654889,0.0001248377,0.001585079],"genre_scores_gemma":[0.9887691,0.0006460598,0.007769875,0.00004980498,0.000007474057,0.00007446072,0.0003133936,0.00002912894,0.0023408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001829896,"threshold_uncertainty_score":0.003638566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317494067963763,"score_gpt":0.199052034507036,"score_spread":0.1858770938273984,"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."}}