{"id":"W4400617601","doi":"10.1016/j.envres.2024.119618","title":"Sustainable utilization of Fe3O4-modified activated lignite for aqueous phosphate removal and ANN modeling","year":2024,"lang":"en","type":"article","venue":"Environmental Research","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"U.S. Department of Agriculture; National Institute of Food and Agriculture; National Science Foundation","keywords":"Aqueous solution; Phosphate; Chemistry; Activated carbon; Environmental chemistry; Environmental science; Waste management; Pulp and paper industry; Adsorption; Organic chemistry; Engineering","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":[0.00100717,0.0001393906,0.0001373421,0.0001175468,0.0002621179,0.00008258949,0.0001865795,0.00007000002,0.0002708574],"category_scores_gemma":[0.00004332833,0.0001308886,0.00005150718,0.0003313516,0.0002555,0.0003355458,0.0005433764,0.0001747577,0.00006420638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003944948,"about_ca_system_score_gemma":0.00001205408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003339823,"about_ca_topic_score_gemma":0.000004100963,"domain_scores_codex":[0.9980436,0.00006558447,0.0002224931,0.000491651,0.000621614,0.0005550822],"domain_scores_gemma":[0.9995129,0.0001121824,0.00002704604,0.0002218105,0.000006231906,0.0001198728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002248472,0.001675516,0.0089014,0.001350463,0.0002832784,0.0005042548,0.005737267,0.04036145,0.3543639,0.01169905,0.006683286,0.5661917],"study_design_scores_gemma":[0.001089083,0.0006492339,0.001571246,0.0001103071,0.00003859571,0.00001401814,0.002731013,0.7764803,0.1283466,0.02862736,0.0599189,0.0004233805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899591,0.00196203,0.003292986,0.000164361,0.0000492817,0.001001914,0.00002010378,0.00003723793,0.003513049],"genre_scores_gemma":[0.9909552,0.001431064,0.0003269062,0.00001991288,0.00002059359,0.00008655229,0.00003518595,0.00003188383,0.007092714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7361189,"threshold_uncertainty_score":0.5337481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05576564832106405,"score_gpt":0.32682573975251,"score_spread":0.2710600914314459,"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."}}