{"id":"W2283794941","doi":"10.1680/jenes.15.00009","title":"Manganese removal by hydrogen peroxide and biofiltration","year":2015,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Geochemistry and Elemental Analysis","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Canada Research Chairs","keywords":"Biofilter; Manganese; Hydrogen peroxide; Filtration (mathematics); Chemistry; Dissolved organic carbon; Environmental chemistry; Water treatment; Activated carbon; Phosphorus; Adsorption; Environmental engineering; Environmental science; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0001451939,0.0003264046,0.0002082727,0.0001512391,0.0001978413,0.0004261238,0.0002617375,0.0002040544,0.0004042527],"category_scores_gemma":[0.0001035077,0.0001225122,0.0002253388,0.0001187352,0.0002315588,0.0001719815,0.0002910574,0.0002964869,0.0001087143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007627106,"about_ca_system_score_gemma":0.000705992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03277513,"about_ca_topic_score_gemma":0.06081428,"domain_scores_codex":[0.9998813,0.00001533856,0.000004583645,0.00002338097,0.00004370136,0.0000317609],"domain_scores_gemma":[0.9999617,0.000006858809,0.0000114994,0.000002766836,0.000009281331,0.000007953201],"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":[0.00008050962,0.0000213833,0.002023236,0.0001040873,0.0000122789,0.00008987734,0.00003132605,0.0004855916,0.9921486,0.00006951863,0.00007778318,0.004855655],"study_design_scores_gemma":[0.00003244577,0.0006527057,0.02497946,0.00001748054,0.00003906182,0.0001497095,0.0001125412,0.003735683,0.9648275,0.00007884287,0.005359117,0.0000153132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951564,0.001065712,0.002349482,0.0001058914,0.0000215113,0.00003491278,0.0000469079,0.0000394963,0.001179836],"genre_scores_gemma":[0.9944487,0.0007389563,0.002141632,0.00002974621,0.000005624185,0.00001245639,0.00007417318,0.000005095192,0.002543739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03277513,"threshold_uncertainty_score":0.06516874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004937888672670438,"score_gpt":0.1575235647175481,"score_spread":0.1525856760448776,"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."}}