{"id":"W2463435083","doi":"10.1016/j.jbiotec.2016.06.030","title":"Oil sands tailings ponds harbour a small core prokaryotic microbiome and diverse accessory communities","year":2016,"lang":"en","type":"article","venue":"Journal of Biotechnology","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; University of Calgary","funders":"Genome Alberta; Syncrude; Suncor Energy Incorporated; Genome Canada","keywords":"Tailings; Harbour; Oil sands; Microbiome; Core (optical fiber); Metagenomics; Ecology; Biology; Geography; Archaeology; Engineering; Bioinformatics; Chemistry; Gene","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":[0.00009419438,0.0004628905,0.0003430335,0.0009566953,0.0009588256,0.0009704216,0.000136583,0.0003044771,0.001171432],"category_scores_gemma":[0.0003103411,0.0002298001,0.00019073,0.0005600215,0.0007588356,0.0004492244,0.001234819,0.0002630532,0.0003499136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003758855,"about_ca_system_score_gemma":0.0009625299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007657479,"about_ca_topic_score_gemma":0.01935703,"domain_scores_codex":[0.9998282,0.000008493312,0.00001263386,0.00003979158,0.00006438608,0.00004651947],"domain_scores_gemma":[0.9996573,0.00003509602,0.00008280535,0.00002169527,0.0000710171,0.0001320349],"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":[0.0005653186,0.00009635382,0.1423556,0.0001108608,0.00004731477,0.0003555474,0.0005705126,0.0002324328,0.8412414,0.000240491,0.0001824543,0.01400169],"study_design_scores_gemma":[0.00003508435,0.0005155195,0.8757277,0.00002485169,0.00008300011,0.0007602553,0.002617149,0.001036215,0.1146549,0.000433544,0.004074246,0.00003751945],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985443,0.00004726339,0.000296346,0.00002294307,0.000004233183,0.00001058553,0.0002549638,0.00002505206,0.000794338],"genre_scores_gemma":[0.99797,0.00006443218,0.0005638726,0.00002032356,0.000005755525,0.000008037315,0.0002788501,0.000005918843,0.001082774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007657479,"threshold_uncertainty_score":0.01522577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02378979111748417,"score_gpt":0.2254801390630938,"score_spread":0.2016903479456096,"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."}}