{"id":"W1539314079","doi":"10.2166/wst.2002.0283","title":"Strategies for augmenting the pentachlorophenol degradation potential of UASB anaerobic granules","year":2002,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Biotechnology Research Institute","funders":"Michigan State University","keywords":"Pentachlorophenol; Bioaugmentation; Anaerobic exercise; Chemistry; Bioreactor; Biofilm; Granule (geology); Degradation (telecommunications); Anaerobic respiration; Pulp and paper industry; Biodegradation; Methanogenesis; Environmental chemistry; Biostimulation; Enrichment culture; Microbiology; Methane; Bacteria; Microorganism; Bioremediation; Biology","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":[0.0002181923,0.0007725069,0.000515671,0.0003065752,0.0001992986,0.0006506168,0.00029418,0.0004219348,0.0003679635],"category_scores_gemma":[0.0002240241,0.0002185477,0.0002606858,0.0002405981,0.0002589965,0.0002971808,0.0004749853,0.0004519799,0.0001904436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003587836,"about_ca_system_score_gemma":0.0002709523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009038377,"about_ca_topic_score_gemma":0.001556346,"domain_scores_codex":[0.9998111,0.00004443189,0.00001674359,0.00002689728,0.0000587948,0.00004216551],"domain_scores_gemma":[0.999893,0.00001868508,0.00003509672,0.00001244894,0.00001730571,0.00002357186],"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":[0.00004429487,0.00003059789,0.0001837688,0.00004424856,0.000002903816,0.00003383513,0.00001197682,0.0001814372,0.9960268,0.00008719587,0.00001578259,0.003337245],"study_design_scores_gemma":[0.00001807111,0.0003089502,0.001234815,0.000008245516,0.00001897003,0.0001413058,0.00003845158,0.001166298,0.9950002,0.0001010319,0.001958484,0.000005227192],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884484,0.001309086,0.00863097,0.0002213235,0.00001931262,0.00008928097,0.00009448548,0.0001101377,0.001076996],"genre_scores_gemma":[0.9768772,0.001657867,0.02003491,0.00005738898,0.00001145295,0.00008057349,0.000257524,0.00002124638,0.001002017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009038377,"threshold_uncertainty_score":0.002603233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185570781548477,"score_gpt":0.2098970606889343,"score_spread":0.1980413528734495,"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."}}