{"id":"W2779076256","doi":"10.1016/j.jbiotec.2017.12.019","title":"Novel approaches to microbial enhancement of oil recovery","year":2017,"lang":"en","type":"review","venue":"Journal of Biotechnology","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Microbial enhanced oil recovery; Oil droplet; Petroleum engineering; Enhanced oil recovery; Coalescence (physics); Wetting; Defoamer; Emulsion; Pulmonary surfactant; Petroleum industry; Surface tension; Oil field; Oil sands; Petroleum reservoir; Environmental science; Chemistry; Materials science; Geology; Asphalt; Dispersant; Environmental engineering; Organic chemistry; Composite material","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004654525,0.0004314311,0.002435768,0.001158496,0.0000319512,0.00002650948,0.001316058,0.001374711,0.00001958612],"category_scores_gemma":[0.0001767187,0.0003745665,0.0006845082,0.0002411275,0.0001120453,0.0001212092,0.000196437,0.001127614,0.00001969646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003612002,"about_ca_system_score_gemma":0.0001741646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003254919,"about_ca_topic_score_gemma":0.000008698453,"domain_scores_codex":[0.9977989,0.00002624367,0.001416988,0.0002278603,0.0001928962,0.000337178],"domain_scores_gemma":[0.9977187,0.00007749515,0.00132452,0.0007500135,0.00005468323,0.00007460711],"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":[0.000009017388,0.00005303587,4.27974e-8,0.005898132,0.0003538627,0.00001136458,0.000009010706,0.0000204035,0.01342964,0.00006242981,0.001399212,0.9787539],"study_design_scores_gemma":[0.0001184436,0.0003253959,1.196751e-7,0.01130186,0.0002340603,0.0003809773,0.000003263767,0.000001964231,0.1100771,0.00005374157,0.8772083,0.0002947962],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001050151,0.9704051,0.02684082,0.00007336512,0.001139251,0.0001710186,0.00005005586,0.0001171804,0.001098178],"genre_scores_gemma":[0.00003520721,0.958176,0.0412325,0.000007696043,0.0001842658,0.00002053252,0.00000446142,0.00008237157,0.0002569372],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9784591,"threshold_uncertainty_score":0.9999217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1517259693706709,"score_gpt":0.3078405835791453,"score_spread":0.1561146142084744,"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."}}