{"id":"W4403451606","doi":"10.1016/j.resconrec.2024.107972","title":"Sustainable electroless nutrient recovery from natural agro-industrial and livestock farm wastewater effluents with a flow cell reactor","year":2024,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"National Science Foundation","keywords":"Effluent; Livestock; Environmental science; Nutrient; Industrial wastewater treatment; Waste management; Wastewater; Pulp and paper industry; Environmental engineering; Engineering; Biology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001854715,0.0001605066,0.0001556698,0.00008165359,0.0001617152,0.000259096,0.00009508627,0.0001356106,0.00006130846],"category_scores_gemma":[0.00005000887,0.0001178847,0.00002489488,0.0002259107,0.0001288948,0.0002615684,0.0001144652,0.0002709679,0.00001782107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008657351,"about_ca_system_score_gemma":0.00001580189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006842841,"about_ca_topic_score_gemma":0.00007803688,"domain_scores_codex":[0.9988553,0.00006132815,0.0002099061,0.000410787,0.0002089547,0.0002537527],"domain_scores_gemma":[0.9995396,0.0001715833,0.00007168662,0.0001432448,0.00001097065,0.00006288636],"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":[0.002438405,0.0002620079,0.1393355,0.0005266888,0.0003027752,0.0002675691,0.01438312,0.002102289,0.7458033,0.0005617075,0.005758592,0.08825806],"study_design_scores_gemma":[0.005806688,0.001288176,0.0304925,0.001015972,0.0002798187,0.00009178169,0.013463,0.1041398,0.5048937,0.003662271,0.3329857,0.00188058],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970444,0.0008066907,0.0001019968,0.0008446048,0.00009360558,0.0003168354,0.000004575783,0.0001617178,0.000625534],"genre_scores_gemma":[0.994563,0.0001945747,0.0008154876,0.0001658979,0.00006228457,0.00002137597,0.00002279249,0.00001759151,0.004136986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3272271,"threshold_uncertainty_score":0.4807198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009507688138123744,"score_gpt":0.201045811041236,"score_spread":0.1915381229031122,"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."}}