{"id":"W3022871673","doi":"10.1016/j.tibtech.2020.04.007","title":"Engineering Microbes for Remediation of Oil Sands Tailings","year":2020,"lang":"en","type":"review","venue":"Trends in biotechnology","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Tailings; Bioremediation; Environmental remediation; Synthetic biology; Software deployment; Oil sands; Biochemical engineering; Key (lock); Environmental science; Biotechnology; Biology; Engineering; Ecology; Chemistry; Computational biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004466905,0.001129503,0.001094462,0.001660714,0.0001276301,0.0009505406,0.0005814125,0.0009976892,0.002256262],"category_scores_gemma":[0.0004589125,0.000300945,0.0005080379,0.001822514,0.0002722984,0.001048574,0.0005778857,0.001144516,0.001278371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00040931,"about_ca_system_score_gemma":0.0007381731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001203721,"about_ca_topic_score_gemma":0.002954809,"domain_scores_codex":[0.999811,0.00001850106,0.00002056072,0.00003473415,0.00009178297,0.00002336292],"domain_scores_gemma":[0.9998115,0.00007379876,0.00004057549,0.000005602042,0.00004865308,0.00002005715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007325963,0.00006587343,0.00008383205,0.01755628,0.0001009999,0.000104292,0.0000245331,0.0003085307,0.01060396,0.001769168,0.008432852,0.9608763],"study_design_scores_gemma":[0.00004702916,0.0002772452,0.001405506,0.004775002,0.0003030011,0.0006313666,0.00006771928,0.0002426985,0.006171464,0.001574985,0.9844664,0.00003760672],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002856198,0.9986159,0.0001988619,0.0001116538,0.0001336641,0.000004609517,0.00002098373,0.000005440053,0.0006232682],"genre_scores_gemma":[0.0011789,0.9976695,0.0002513631,0.00009207471,0.00006893223,0.000004402204,0.00003616128,0.000001323681,0.0006972856],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002256262,"threshold_uncertainty_score":0.007547975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02314132407193054,"score_gpt":0.2786926836833982,"score_spread":0.2555513596114677,"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."}}