{"id":"W4381952170","doi":"10.1016/j.jece.2023.110421","title":"Performance of ferrates for simultaneous removal of As and Mn from circumneutral contaminated mine water","year":2023,"lang":"en","type":"article","venue":"Journal of environmental chemical engineering","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Effluent; Chemistry; Manganese; Contamination; Environmental chemistry; Nuclear chemistry; Metal; Environmental science; Environmental 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":[0.00010994,0.00008729889,0.000174215,0.00003470812,0.00001399154,0.000002899803,0.00007986092,0.00005280346,0.0001688851],"category_scores_gemma":[0.00004397885,0.00007288733,0.00005686974,0.00004386412,0.00007249934,0.0001094605,0.0000561937,0.00007564693,0.000006287792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006602106,"about_ca_system_score_gemma":0.000002255045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006013088,"about_ca_topic_score_gemma":2.476165e-7,"domain_scores_codex":[0.9992819,0.000005034387,0.000324171,0.00009107522,0.0001729922,0.0001248132],"domain_scores_gemma":[0.9996589,0.0001108391,0.0001077977,0.0000550989,0.000004361706,0.00006296672],"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":[0.00005096349,0.00002845934,0.001122674,0.00001929176,0.00001845608,0.00001252523,0.0003014699,0.006154439,0.9880993,0.000001871465,0.0000114142,0.00417913],"study_design_scores_gemma":[0.0006820515,0.000154765,0.007926791,0.0000373989,0.00002853639,0.00007398704,0.000113807,0.07033673,0.9200876,0.00001485866,0.0004528075,0.00009068711],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996245,0.0000367405,0.0001074379,0.00003558848,0.00005138219,0.00007474164,0.000020075,0.000006685014,0.00004287698],"genre_scores_gemma":[0.9989094,0.00004783747,0.0008552324,0.000009449679,0.00002465701,0.000001600716,0.0000234134,0.00001113407,0.000117347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06801172,"threshold_uncertainty_score":0.2972259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004490141400766936,"score_gpt":0.1828620427658609,"score_spread":0.178371901365094,"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."}}