{"id":"W2041349226","doi":"10.1016/j.jenvman.2013.09.031","title":"Biological removal of phyto-sterols in pulp mill effluents","year":2013,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Steroid Chemistry and Biochemistry","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Effluent; Pulp mill; Paper mill; Pulp and paper industry; Mill; Pulp (tooth); Environmental science; Wastewater; Waste management; Chemistry; Environmental engineering; Engineering","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":[0.0002007182,0.0002986749,0.0004222772,0.0002351452,0.0003960068,0.0008040258,0.0002473055,0.0003068884,0.0009583023],"category_scores_gemma":[0.0001914096,0.0001172603,0.0002553801,0.0001780377,0.0001884264,0.0002224783,0.0002547374,0.0005164334,0.0003479127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004205504,"about_ca_system_score_gemma":0.0004903144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003663242,"about_ca_topic_score_gemma":0.004885487,"domain_scores_codex":[0.9998044,0.00001760093,0.00001185638,0.0000233472,0.00008775995,0.00005514266],"domain_scores_gemma":[0.9999092,0.00001811626,0.00000838663,0.000006399536,0.00003591244,0.00002214004],"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":[0.0001694404,0.00004165607,0.0003419361,0.000059435,0.000005289655,0.00003626895,0.00002380375,0.0001634251,0.9956701,0.00003006956,0.00003245567,0.00342599],"study_design_scores_gemma":[0.000006000865,0.0001350229,0.001415167,0.000004683491,0.000008237218,0.00002172214,0.00004065815,0.0005893417,0.9973356,0.00001662172,0.0004243167,0.000002624794],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977054,0.0004330632,0.0006720008,0.00003211001,0.00001795216,0.000009544765,0.00005815069,0.0000188528,0.001052898],"genre_scores_gemma":[0.9940484,0.0005028617,0.0007780123,0.00003471179,0.000007574355,0.000006740537,0.0001044025,0.000008219611,0.004509029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003663242,"threshold_uncertainty_score":0.007283866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005895654427683519,"score_gpt":0.1987898154379649,"score_spread":0.1928941610102814,"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."}}