{"id":"W2625644373","doi":"10.1016/j.ibiod.2017.05.027","title":"Analyses of 16S rRNA and cpn60 gene sequences provide complementary information about potentially useful and harmful oil field microbiota","year":2017,"lang":"en","type":"article","venue":"International Biodeterioration & Biodegradation","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan; Suncor Energy (Canada); National Research Council Canada; Saskatchewan Research Council (Canada)","funders":"Innovation Saskatchewan","keywords":"Amplicon; Biology; 16S ribosomal RNA; Betaproteobacteria; Genetics; Microbiology; Ralstonia; Gene; Ribosomal RNA; Polymerase chain reaction; Actinobacteria","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":[0.0003149693,0.00121794,0.0005724388,0.001771742,0.0005579939,0.0007998423,0.000168673,0.0004725055,0.002333348],"category_scores_gemma":[0.0009081531,0.0002027525,0.000479289,0.00148972,0.0004232103,0.00070411,0.000764182,0.0004279006,0.0008374833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002414894,"about_ca_system_score_gemma":0.000589037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002220113,"about_ca_topic_score_gemma":0.003012151,"domain_scores_codex":[0.9996756,0.00002732564,0.00004008386,0.00008030373,0.00009108835,0.00008562591],"domain_scores_gemma":[0.9993852,0.0001059361,0.00012349,0.00004222302,0.0002031667,0.0001398997],"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":[0.0004783496,0.00007824099,0.00873845,0.0001173345,0.00001427649,0.0001287748,0.00013797,0.00007101315,0.9802714,0.00006948387,0.0000362071,0.009858617],"study_design_scores_gemma":[0.00004486718,0.001582676,0.3237472,0.0001216383,0.0002228061,0.0011814,0.001881251,0.00153208,0.6573387,0.0012059,0.01107693,0.00006458718],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844537,0.0008465092,0.004525127,0.00007612608,0.00006576902,0.0001041225,0.005477118,0.00006111719,0.004390399],"genre_scores_gemma":[0.9685555,0.001644199,0.01485851,0.0001440101,0.00006296935,0.0001660018,0.009271801,0.000059763,0.005237306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002333348,"threshold_uncertainty_score":0.007805824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02970246280443299,"score_gpt":0.2919349176849892,"score_spread":0.2622324548805562,"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."}}