{"id":"W2946917817","doi":"10.1016/j.jhazmat.2019.05.076","title":"Coaggregation of bacterial communities in aerobic granulation and its application on the biodegradation of sulfolane","year":2019,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sulfolane; Granule (geology); Biodegradation; Chemistry; Aerobic bacteria; Granulation; Microbial population biology; Bacteria; Wastewater; Pulp and paper industry; Environmental chemistry; Environmental engineering; Biochemistry; Biology; Environmental science; Materials science; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003346564,0.0002655547,0.0003022544,0.0003478255,0.0002691261,0.0004274057,0.000131681,0.0003448607,0.0003312148],"category_scores_gemma":[0.0002614943,0.000145688,0.0003908311,0.0002911557,0.0002658143,0.0002814922,0.0004235378,0.0002614781,0.0000888229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001555957,"about_ca_system_score_gemma":0.0002523267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009425778,"about_ca_topic_score_gemma":0.001755819,"domain_scores_codex":[0.9996293,0.00008328479,0.00002770496,0.00007850856,0.0001005843,0.00008066867],"domain_scores_gemma":[0.9998209,0.00004273072,0.00002903083,0.00001681865,0.00004262632,0.00004781389],"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":[0.0001973742,0.00006538649,0.002117944,0.00003389002,0.00001135221,0.00003338704,0.00007308944,0.00006269715,0.9945921,0.00003194086,0.00001205153,0.002768763],"study_design_scores_gemma":[0.00001716297,0.0007486474,0.04383346,0.000009228067,0.0000739754,0.0001200154,0.0002566413,0.002757029,0.9512836,0.00006617636,0.000818724,0.00001543101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984148,0.0003256269,0.0008349066,0.0000379321,0.00001645501,0.00001058212,0.00005221945,0.000008677632,0.000298836],"genre_scores_gemma":[0.9982098,0.0002286483,0.001140255,0.00001410539,0.00001212442,0.00001308286,0.0000645723,0.000002661686,0.0003147986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009425778,"threshold_uncertainty_score":0.001874208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0115524684694156,"score_gpt":0.2077920918964763,"score_spread":0.1962396234270607,"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."}}