{"id":"W4285797968","doi":"10.1139/er-2021-0038","title":"Review of resource utilization of Fe-rich sludges: purification, upcycling, and application in wastewater treatment","year":2022,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flocculation; Hematite; Waste management; Resource recovery; Sewage treatment; Red mud; Wastewater; Materials science; Environmental science; Metallurgy; Environmental engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004283509,0.0001382261,0.0003545173,0.00006683124,0.00002928901,0.000002223438,0.00009623278,0.00002593972,0.0001761877],"category_scores_gemma":[0.00001471437,0.0001296081,0.00004428926,0.0001228559,0.00004273673,0.00006255371,0.00004836892,0.00004357101,0.00001794414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002697913,"about_ca_system_score_gemma":0.00000292861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004422083,"about_ca_topic_score_gemma":0.000001057056,"domain_scores_codex":[0.9986609,0.0001494648,0.0007372308,0.0001854215,0.000165461,0.0001015515],"domain_scores_gemma":[0.9994166,0.00002617502,0.0002340596,0.0002898723,4.544905e-7,0.00003285216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002210528,0.0005302594,0.02836785,0.00483078,0.00003954276,0.00000106347,0.001405918,0.001526455,0.8153309,0.00002571592,0.001144724,0.1467747],"study_design_scores_gemma":[0.0006409609,0.0001667805,0.02080155,0.0008407349,0.00007135019,0.000008123957,0.0001961459,0.000725743,0.1610247,0.00002315415,0.8152305,0.0002702152],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7233992,0.274385,0.0001183773,0.00005383464,0.00005000976,0.001692815,0.00004395033,0.00001973441,0.0002370763],"genre_scores_gemma":[0.6323312,0.3664012,0.0003116485,0.00006117321,0.00001039286,0.0005447161,0.0002555124,0.0000228115,0.00006137317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8140858,"threshold_uncertainty_score":0.5285264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01853342875832076,"score_gpt":0.2394079616063566,"score_spread":0.2208745328480358,"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."}}