{"id":"W2565250335","doi":"10.1016/j.jhazmat.2016.12.061","title":"Microbial selenium sulfide reduction for selenium recovery from wastewater","year":2017,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Selenium; Selenate; Sulfide; Chemistry; Sulfur; Extracellular polymeric substance; Inorganic chemistry; Environmental chemistry; Organic chemistry; Bacteria; Biofilm; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002570008,0.0003274728,0.0003369009,0.0003041597,0.0003135199,0.0005615446,0.0003183663,0.000481073,0.001792536],"category_scores_gemma":[0.0002498604,0.0001630685,0.0004962577,0.0002048728,0.0001833313,0.0003001018,0.0006195862,0.0004270035,0.0006177136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002857491,"about_ca_system_score_gemma":0.0004630648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00100516,"about_ca_topic_score_gemma":0.002225862,"domain_scores_codex":[0.9998081,0.0000368126,0.00001337732,0.00002736573,0.00007659874,0.00003778343],"domain_scores_gemma":[0.9999344,0.00001124983,0.000007209949,0.000004340083,0.0000300282,0.00001276897],"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":[0.0002772358,0.0002069618,0.0005804162,0.0001125173,0.00001562702,0.00007365064,0.00006128552,0.000178498,0.9810919,0.0001203756,0.0001723571,0.01710929],"study_design_scores_gemma":[0.00001481382,0.0007608822,0.0009004658,0.00001122477,0.00002224161,0.00009078345,0.0001326491,0.001295321,0.9952916,0.00005070673,0.001423857,0.000005569801],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992253,0.001437386,0.003442936,0.0003132212,0.00009390483,0.00003660557,0.00005686498,0.00006226591,0.002303676],"genre_scores_gemma":[0.9880077,0.001134598,0.004724472,0.00005451427,0.00001616251,0.00001774893,0.00009602067,0.00001378855,0.005934994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001792536,"threshold_uncertainty_score":0.005996704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02708025777496892,"score_gpt":0.2747538536854871,"score_spread":0.2476735959105182,"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."}}