{"id":"W2039162340","doi":"10.1002/cjce.20445","title":"Aerobic granular treatment of 2,4‐dichlorophenol","year":2011,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Granulation; Degradation (telecommunications); Effluent; 2,4-Dichlorophenol; Chemistry; Sequencing batch reactor; Substrate (aquarium); Chemical oxygen demand; Chromatography; Chemical engineering; Nuclear chemistry; Materials science; Environmental engineering; Wastewater; Bacteria; Biology; Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00009977368,0.0005224426,0.0004249609,0.0001498824,0.0001835314,0.0005576422,0.0001534571,0.000234178,0.0003771335],"category_scores_gemma":[0.00009463508,0.0001619057,0.0002837518,0.0002636105,0.000121866,0.0001179453,0.0002661836,0.0003226517,0.000155545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002873912,"about_ca_system_score_gemma":0.0003383505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005718758,"about_ca_topic_score_gemma":0.004427558,"domain_scores_codex":[0.9998605,0.0000174181,0.00001030352,0.00002673412,0.00004484866,0.00004023767],"domain_scores_gemma":[0.9999561,0.000005373109,0.00001069581,0.000004500031,0.000007045811,0.00001618173],"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":[0.00006646768,0.00002232384,0.0001649342,0.00003557603,0.000003166092,0.00005243415,0.000009896588,0.0001254192,0.9984056,0.00001329114,0.00001504428,0.001085861],"study_design_scores_gemma":[0.00002377504,0.0003518257,0.005939112,0.00001029206,0.00002741806,0.00008098324,0.00004301541,0.00138932,0.9912109,0.00002516056,0.0008908999,0.000007376298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980314,0.0003243439,0.0007919419,0.0000344326,0.00001980385,0.00001571353,0.0001474145,0.00002760033,0.0006073801],"genre_scores_gemma":[0.9971942,0.0003722244,0.001118398,0.00001509261,0.000004495398,0.00001027696,0.000238145,0.00000797681,0.001039104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005718758,"threshold_uncertainty_score":0.01137096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01327455118212082,"score_gpt":0.1661694438213596,"score_spread":0.1528948926392388,"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."}}