{"id":"W2067482346","doi":"10.1061/(asce)1090-025x(2001)5:2(48)","title":"Class A Pathogen Reduction in the SSDML Process","year":2001,"lang":"en","type":"article","venue":"Practice Periodical of Hazardous Toxic and Radioactive Waste Management","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"GDG Environnement; Institut National de la Recherche Scientifique; Institut National d'Optique","funders":"U.S. Environmental Protection Agency","keywords":"Mesophile; Sewage sludge; Fecal coliform; Sewage; Bioreactor; Aerobic digestion; Pulp and paper industry; Microorganism; Sewage sludge treatment; Sewage treatment; Environmental science; Biosolids; Anaerobic digestion; Chemistry; Waste management; Activated sludge; Environmental engineering; Biology; Bacteria; Ecology; 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":[0.0002460029,0.0003014285,0.000275793,0.0002583018,0.0002207532,0.0005198298,0.0002557695,0.0003518354,0.0008444018],"category_scores_gemma":[0.0002961643,0.000145896,0.000347054,0.0002630787,0.0001630321,0.0003214231,0.0004050804,0.0002900635,0.0005302504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002065853,"about_ca_system_score_gemma":0.0003281116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009025434,"about_ca_topic_score_gemma":0.001467942,"domain_scores_codex":[0.9996089,0.00004802253,0.00002725114,0.00009135238,0.0001860199,0.00003844427],"domain_scores_gemma":[0.9998742,0.00001819548,0.00004045157,0.00001207261,0.00003869912,0.00001633857],"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":[0.00008191267,0.00003478676,0.0004577169,0.00005985177,0.000003869474,0.00001895488,0.00001685457,0.0001967467,0.9878144,0.00005438813,0.00005318932,0.01120722],"study_design_scores_gemma":[0.000009531898,0.0003145209,0.001495768,0.000005779294,0.00001053503,0.0001117782,0.0000217895,0.001525225,0.993351,0.0000420866,0.003106899,0.00000517353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780796,0.001013351,0.01875092,0.0001085284,0.00003225542,0.00006298294,0.0001658127,0.0001976285,0.001589009],"genre_scores_gemma":[0.9562026,0.0008494902,0.0359828,0.00009786699,0.00002315237,0.00006006357,0.0005449644,0.000028286,0.006210817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009025434,"threshold_uncertainty_score":0.002824783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009877691822072689,"score_gpt":0.2527367180483577,"score_spread":0.242859026226285,"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."}}