{"id":"W4403953787","doi":"10.1186/s40793-024-00626-w","title":"Arctic's hidden hydrocarbon degradation microbes: investigating the effects of hydrocarbon contamination, biostimulation, and a surface washing agent on microbial communities and hydrocarbon biodegradation pathways in high-Arctic beaches","year":2024,"lang":"en","type":"article","venue":"Environmental Microbiome","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; McGill University","funders":"Fisheries and Oceans Canada; Concordia University","keywords":"Biostimulation; Hydrocarbon; Biodegradation; Contamination; Environmental science; Environmental chemistry; Arctic; Degradation (telecommunications); Polycyclic aromatic hydrocarbon; Microbial biodegradation; The arctic; Bioremediation; Chemistry; Oceanography; Geology; Ecology; Microorganism; Bacteria; Biology; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003916072,0.0004786295,0.0006524191,0.0002209733,0.0005000276,0.0009288135,0.0002418788,0.0004592831,0.0005538236],"category_scores_gemma":[0.0003314426,0.0001532061,0.0007109722,0.0003256137,0.0002905332,0.0003826801,0.0004726532,0.0005726487,0.0001956911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003916548,"about_ca_system_score_gemma":0.0009046325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009342468,"about_ca_topic_score_gemma":0.0184527,"domain_scores_codex":[0.999558,0.00004768621,0.00003439813,0.000128069,0.000130698,0.0001010092],"domain_scores_gemma":[0.9996655,0.0000516403,0.00007434211,0.00001814812,0.0001263503,0.00006401507],"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":[0.000463381,0.000304595,0.01707379,0.0003266399,0.00005528302,0.0001375645,0.0002813043,0.0004208802,0.9735415,0.00004336914,0.0000777509,0.00727393],"study_design_scores_gemma":[0.00004197138,0.007202998,0.2713058,0.00013808,0.0003336444,0.0004613478,0.002954966,0.005274728,0.7073077,0.0001838196,0.004704933,0.0000899392],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984398,0.0003262898,0.0004843646,0.0000412422,0.00001397974,0.00002857671,0.0002560267,0.00000666516,0.0004029862],"genre_scores_gemma":[0.9920486,0.001082571,0.004603053,0.0001348109,0.00001928294,0.00009549793,0.0006719398,0.00001143182,0.001332849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009342468,"threshold_uncertainty_score":0.01857615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007917496622717733,"score_gpt":0.1887976838258622,"score_spread":0.1808801872031445,"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."}}