{"id":"W2739998841","doi":"10.1111/jam.13549","title":"Response of microbial community and catabolic genes to simulated petroleum hydrocarbon spills in soils/sediments from different geographic locations","year":2017,"lang":"en","type":"article","venue":"Journal of Applied Microbiology","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Tianjin City; National Natural Science Foundation of China","keywords":"AlkB; Microcosm; Actinobacteria; Environmental chemistry; Bioremediation; Soil water; Microbial population biology; Temperature gradient gel electrophoresis; Hydrocarbon; Proteobacteria; Relative species abundance; Soil microbiology; Chemistry; Environmental science; Abundance (ecology); Ecology; Biology; Bacteria; Contamination; 16S ribosomal RNA; Gene; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005934503,0.0001660472,0.0003914413,0.0001586741,0.0001747925,0.00002682384,0.0005319649,0.0001494625,0.0001091045],"category_scores_gemma":[0.00004291317,0.0001366647,0.00005900798,0.00006931376,0.0003416629,0.00006585321,0.0003479651,0.0002919598,0.00002280538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008406826,"about_ca_system_score_gemma":0.00002077759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001058052,"about_ca_topic_score_gemma":0.001239102,"domain_scores_codex":[0.998789,0.0001867371,0.0005561878,0.0001691414,0.00007193283,0.0002270392],"domain_scores_gemma":[0.9987708,0.0001227593,0.0006126742,0.0003592135,0.00001945657,0.0001151303],"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":[0.000980056,0.0001978922,0.05308886,0.000003252672,0.00002762017,0.000002373342,0.0003806036,0.0002521896,0.9442993,0.000001676793,0.0001286126,0.0006375887],"study_design_scores_gemma":[0.001687875,0.0001774666,0.5503662,0.00002726548,0.00002553487,0.0000114435,0.0001041064,0.00002357641,0.4462431,0.00005367972,0.001134737,0.0001449933],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990723,0.00004989572,0.00001285852,0.000360376,0.0001737269,0.0001671879,0.00009796632,0.000003899474,0.00006181467],"genre_scores_gemma":[0.9993458,0.00007879228,0.0002310603,0.0002784945,0.00002490619,8.11164e-7,0.00002075468,0.0000091858,0.00001020621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4980562,"threshold_uncertainty_score":0.5573024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009916386713747982,"score_gpt":0.2314984953372062,"score_spread":0.2215821086234583,"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."}}