{"id":"W4297540288","doi":"10.1002/cjce.24682","title":"Emerging technologies for selenium separation and recovery from aqueous systems: A review for sustainable management strategy","year":2022,"lang":"en","type":"review","venue":"The Canadian Journal of Chemical Engineering","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Science and Technology, Ministry of Science and Technology, India; Ministry of Higher Education and Scientific Research","keywords":"Resource recovery; Selenium; Resource (disambiguation); Emerging technologies; Human health; Environmental science; Computer science; Biochemical engineering; Risk analysis (engineering); Nanotechnology; Business; Chemistry; Engineering; Environmental engineering; Materials science; Wastewater","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001067464,0.001190317,0.001629846,0.003776545,0.0004997881,0.001517914,0.00102564,0.001532443,0.003456727],"category_scores_gemma":[0.0009622185,0.0004668874,0.001101106,0.004349788,0.0005782069,0.002097676,0.000807674,0.001663196,0.001210758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001168546,"about_ca_system_score_gemma":0.003455393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003613341,"about_ca_topic_score_gemma":0.004773702,"domain_scores_codex":[0.9995853,0.00005587014,0.00006804503,0.00006345684,0.0001803264,0.00004701459],"domain_scores_gemma":[0.9992156,0.000364959,0.0001146263,0.000022055,0.0002488799,0.00003392663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006595105,0.0001482155,0.0003044042,0.09200539,0.0001856542,0.0003997296,0.0002437511,0.0012358,0.007924847,0.01342847,0.02748665,0.8565712],"study_design_scores_gemma":[0.00000996604,0.0001390696,0.0007394833,0.01151247,0.000226575,0.0004992965,0.0001895559,0.0003221205,0.001572811,0.003465794,0.981282,0.00004092269],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002234462,0.9978974,0.0003658055,0.0004594312,0.0001778817,0.000009875292,0.00002662068,0.000008488105,0.0008311275],"genre_scores_gemma":[0.0008854057,0.9981494,0.0004120479,0.0001443606,0.00007108758,0.00001047442,0.00002492231,0.000001448503,0.0003008825],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003776545,"threshold_uncertainty_score":0.01156396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02757074360429105,"score_gpt":0.2788662781779718,"score_spread":0.2512955345736808,"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."}}