{"id":"W2988369871","doi":"10.3390/microorganisms7110523","title":"Aided Phytoremediation to Clean Up Dioxins/Furans-Aged Contaminated Soil: Correlation between Microbial Communities and Pollutant Dissipation","year":2019,"lang":"en","type":"article","venue":"Microorganisms","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Institut National de la Recherche Agronomique; Université du Littoral Côte d'Opale","keywords":"Phytoremediation; Pollutant; Environmental chemistry; Soil contamination; Microcosm; Bioremediation; Soil water; Soil Pollutants; Environmental science; Chemistry; Microorganism; Contamination; Biology; Bacteria; Ecology","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":[0.0001889066,0.0003940501,0.000332938,0.0002361257,0.0001358383,0.0004429207,0.0001309185,0.0003404855,0.0004103383],"category_scores_gemma":[0.0001701905,0.0001304874,0.0002734043,0.0002384678,0.0001683061,0.0002217921,0.0002717302,0.0003414926,0.0001406291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002198603,"about_ca_system_score_gemma":0.0002198578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002505368,"about_ca_topic_score_gemma":0.004251548,"domain_scores_codex":[0.9998084,0.00002621632,0.00001141537,0.00005578777,0.00005147229,0.00004669875],"domain_scores_gemma":[0.9998696,0.00002056742,0.00003409406,0.00000926972,0.00003893731,0.00002747083],"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":[0.00006091047,0.00002163373,0.001978072,0.00003795488,0.000007840742,0.00001795358,0.00002065223,0.00003673619,0.996241,0.00000657655,0.000007587667,0.001563017],"study_design_scores_gemma":[0.000009922923,0.0008850327,0.1227766,0.00001955182,0.0000628298,0.0002105825,0.0001945665,0.001123706,0.8731987,0.00004382134,0.00146042,0.00001421247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977568,0.0006872768,0.001110118,0.00002416223,0.000005501741,0.00001279091,0.0001605854,0.0000132578,0.0002297037],"genre_scores_gemma":[0.9958112,0.0007132065,0.001933164,0.00004147525,0.000003615499,0.00001886796,0.0003587657,0.000005833603,0.00111393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002505368,"threshold_uncertainty_score":0.004981577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007757201535395631,"score_gpt":0.2022692995869168,"score_spread":0.1945120980515212,"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."}}