{"id":"W2588306494","doi":"10.1007/bf03402472","title":"Electro-biochemical reactor (EBR) technology for selenium removal from British Columbia’s coal-mining waste waters","year":2014,"lang":"en","type":"article","venue":"Mining Metallurgy & Exploration","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Selenium; Coal mining; Environmental science; Waste management; Coal; Environmental chemistry; Mining engineering; Chemistry; Geology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003750304,0.0003588481,0.0002666896,0.0005982096,0.001268195,0.0007847867,0.0005186356,0.0003804744,0.00169346],"category_scores_gemma":[0.00033454,0.0001877067,0.0002502006,0.0004770774,0.0003359829,0.0003729595,0.0005659363,0.0007537338,0.0005400899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001948524,"about_ca_system_score_gemma":0.003650343,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2247749,"about_ca_topic_score_gemma":0.3933865,"domain_scores_codex":[0.9997119,0.00002874053,0.00001808507,0.00004613932,0.0001363151,0.00005866631],"domain_scores_gemma":[0.9998529,0.00002326869,0.00001008613,0.000008610637,0.00008529744,0.00001977377],"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":[0.0002207792,0.0001746114,0.004871785,0.0002660858,0.00001998287,0.0003763371,0.0004407833,0.001050615,0.9364763,0.0004914919,0.0009566593,0.05465455],"study_design_scores_gemma":[0.00002177977,0.0003289424,0.01935408,0.00004675065,0.00005195604,0.0003245017,0.0009128197,0.002777778,0.9615712,0.0001202808,0.01445975,0.00003022003],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867899,0.0009489732,0.003692593,0.0003867351,0.00004588854,0.00007588814,0.0001541341,0.0001332928,0.007772543],"genre_scores_gemma":[0.9633988,0.001658195,0.006716367,0.0001320791,0.000005524806,0.00003070363,0.0001925591,0.0000319835,0.02783391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7752252,"threshold_uncertainty_score":0.4469331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02351114112969968,"score_gpt":0.2373592843792564,"score_spread":0.2138481432495568,"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."}}