{"id":"W4307029500","doi":"10.1007/s10661-022-10535-5","title":"Pollutant removal from cheese processing effluent using effective indigenous natural scavengers","year":2022,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Probiotics and Fermented Foods","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Tamil Nadu State Council for Higher Education","keywords":"Effluent; Chemical oxygen demand; Bacillus cereus; Enterobacter cloacae; Microorganism; Food science; Total dissolved solids; Wastewater; Chemistry; Nutrient; Total suspended solids; Biochemical oxygen demand; Pulp and paper industry; Biology; Bacteria; Environmental science; Environmental engineering; Escherichia coli; Enterobacteriaceae","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":[0.0002073466,0.0002928064,0.0002322143,0.0001233583,0.0001238273,0.0003349332,0.0002403072,0.0002402316,0.0006133859],"category_scores_gemma":[0.0002027405,0.0001020193,0.0002289629,0.00006601524,0.00013285,0.0001889102,0.0003114179,0.0002778841,0.0001419585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001788343,"about_ca_system_score_gemma":0.0002395788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001401408,"about_ca_topic_score_gemma":0.002966472,"domain_scores_codex":[0.9998771,0.00001618601,0.000008612966,0.00002479639,0.00004716539,0.00002618329],"domain_scores_gemma":[0.9999179,0.00001201896,0.00001891836,0.000008173205,0.00003188866,0.0000110943],"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":[0.00008045172,0.00002586672,0.0002783636,0.00002626557,0.000004783015,0.00001249623,0.00001314406,0.0000893547,0.9974049,0.00001617897,0.00001763369,0.002030596],"study_design_scores_gemma":[0.000007976056,0.0003514522,0.001761955,0.000005335413,0.00001830203,0.00002021817,0.00004253935,0.001255089,0.996044,0.000009918384,0.0004786615,0.000004576871],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978998,0.0002962773,0.001255556,0.00003291502,0.000008878732,0.000007289487,0.00002995266,0.00002215309,0.0004472081],"genre_scores_gemma":[0.994168,0.0003475443,0.001910799,0.00002832151,0.000005924245,0.0000102819,0.00006156185,0.000008493935,0.003459042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001401408,"threshold_uncertainty_score":0.002786517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00984827136461537,"score_gpt":0.234743407814419,"score_spread":0.2248951364498037,"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."}}