{"id":"W1990282383","doi":"10.1007/s10532-012-9577-2","title":"Potential applications of bioprocess technology in petroleum industry","year":2012,"lang":"en","type":"review","venue":"Biodegradation","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Biorefining; Bioprocess; Oil refinery; Bioremediation; Petroleum; Petroleum industry; Waste management; Environmental science; Microbial enhanced oil recovery; Environmental remediation; Chemical industry; Biochemical engineering; Engineering; Environmental engineering; Biofuel; Biorefinery; Chemistry; Contamination; Ecology","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":[0.0005942397,0.001128174,0.001528303,0.00320458,0.0002586332,0.001011892,0.000934098,0.001024614,0.002665136],"category_scores_gemma":[0.0006403533,0.0003395775,0.000575294,0.004017913,0.0004405494,0.001425763,0.0006678912,0.001277107,0.001662973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004190363,"about_ca_system_score_gemma":0.0007893178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000890996,"about_ca_topic_score_gemma":0.001829323,"domain_scores_codex":[0.9998034,0.00001956511,0.00002801896,0.00004386028,0.00008522435,0.00001999225],"domain_scores_gemma":[0.9995757,0.0001798695,0.00007375751,0.0000133702,0.0001215447,0.00003575852],"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":[0.00006094214,0.0001022704,0.0001788441,0.01833411,0.00008393605,0.0002620658,0.00004386292,0.0004397847,0.008732677,0.002212737,0.009043409,0.9605054],"study_design_scores_gemma":[0.00002754054,0.0002213691,0.001519357,0.003338146,0.0002165763,0.002132927,0.00009121372,0.0002900447,0.004989182,0.002487031,0.9846392,0.00004744862],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002136215,0.9986798,0.0002676388,0.00008357293,0.00009971131,0.000003386641,0.00001535526,0.000004287305,0.0006326211],"genre_scores_gemma":[0.001051594,0.997725,0.0004313633,0.0000810114,0.0001132878,0.000003462079,0.00003013317,0.000001368017,0.0005627575],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00320458,"threshold_uncertainty_score":0.008915782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0213580165620742,"score_gpt":0.2774064544711812,"score_spread":0.256048437909107,"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."}}