{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001447613,0.0003806273,0.0002284182,0.0002725098,0.0001552649,0.0003148801,0.0001945009,0.000295486,0.0005653123],"category_scores_gemma":[0.0002788571,0.0001783045,0.0001754549,0.0001989688,0.0001691343,0.0002679555,0.0004092387,0.000278307,0.0001322457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002054973,"about_ca_system_score_gemma":0.0001575801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00204013,"about_ca_topic_score_gemma":0.002559101,"domain_scores_codex":[0.9997109,0.00004334392,0.00002655242,0.0001120603,0.00005328882,0.00005381557],"domain_scores_gemma":[0.9997748,0.00005536238,0.00005664694,0.00001940759,0.00004302397,0.00005084501],"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":[0.00007179161,0.00001855867,0.003277689,0.00002267093,0.000008057053,0.00003277838,0.0000399414,0.00003324748,0.9953146,0.000008559123,0.000005127171,0.001166924],"study_design_scores_gemma":[0.00001896345,0.001678485,0.5612211,0.00001675892,0.00008785367,0.000632843,0.000594332,0.001947946,0.4314335,0.0001099534,0.002229593,0.00002863496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991862,0.0001260647,0.0002364718,0.00001744912,0.000002175932,0.000006907552,0.0001313992,0.00000642126,0.0002869006],"genre_scores_gemma":[0.9978009,0.0001414457,0.0007584051,0.00003847624,0.00000207659,0.00001458018,0.0004580326,0.000005962059,0.0007801551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00204013,"threshold_uncertainty_score":0.004056573,"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."}}