{"id":"W3080381206","doi":"10.1093/femsec/fiaa156","title":"Phenanthrene contamination and ploidy level affect the rhizosphere bacterial communities of Spartina spp.","year":2020,"lang":"en","type":"article","venue":"FEMS Microbiology Ecology","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Erasmus+; European Commission; Ministère de l'Enseignement Supérieur et de la Recherche; Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; Compute Canada","keywords":"Rhizosphere; Biology; Spartina; Botany; Salt marsh; Bacteria; 16S ribosomal RNA; Phenanthrene; Interspecific competition; Contamination; Ecology; Marsh; Genetics; Wetland","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000216807,0.0001306417,0.0002380664,0.00001011299,0.0001174975,0.000008988571,0.0002338152,0.0001639893,0.006151174],"category_scores_gemma":[0.00005708456,0.00009070085,0.000036444,0.00008514286,0.0008472586,0.00005216547,0.0002623135,0.0001354712,0.0003267968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003211575,"about_ca_system_score_gemma":0.00001411213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000209532,"about_ca_topic_score_gemma":0.005371195,"domain_scores_codex":[0.9990542,0.000274084,0.0002466489,0.000174178,0.00002890146,0.0002220008],"domain_scores_gemma":[0.9994538,0.0001771995,0.0001791468,0.0001287724,0.00001289537,0.00004822309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000076876,0.0000359547,0.08715856,0.000006285052,0.00001789267,0.000001085022,0.001011836,0.000003916788,0.9027832,0.00002749958,0.008114027,0.0007629397],"study_design_scores_gemma":[0.001799801,0.0009033942,0.6704465,0.000009589949,0.00004509786,0.00005204871,0.001301063,0.00009825021,0.2828667,0.00004111337,0.0421308,0.0003056647],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964947,0.00003069287,0.00002029187,0.002328657,0.0002923635,0.0002643385,0.0001259812,0.00001936392,0.0004236437],"genre_scores_gemma":[0.9983372,0.00005960785,0.0001347205,0.001175763,0.00004963369,0.000003829147,0.0001181421,0.000007655243,0.0001134106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6199164,"threshold_uncertainty_score":0.9947574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02572949665828187,"score_gpt":0.2161286698485357,"score_spread":0.1903991731902538,"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."}}