{"id":"W3167700600","doi":"10.1016/j.biortech.2021.125404","title":"Access-dispersion-recovery strategy for enhanced mitigation of heavy crude oil pollution using magnetic nanoparticles decorated bacteria","year":2021,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Fisheries and Oceans Canada; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Fisheries and Oceans Canada; Canada Foundation for Innovation; Dairy Farmers of Ontario","keywords":"Bioremediation; Magnetic nanoparticles; Pollution; Dispersion (optics); Bacteria; Degradation (telecommunications); Chemistry; Magnetic separation; Enhanced oil recovery; Rhodococcus; Nanoparticle; Environmental pollution; Environmental chemistry; Chemical engineering; Environmental science; Materials science; Nanotechnology; Metallurgy; Biology; Environmental protection; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009750234,0.0001307282,0.0001773674,0.00009362007,0.00009582768,0.0000321812,0.0002097309,0.0002310733,0.00115203],"category_scores_gemma":[0.0001096737,0.0001281974,0.00005642282,0.0006720109,0.0002618325,0.0001332722,0.0001511276,0.00006182522,0.0000427423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000117396,"about_ca_system_score_gemma":0.00004496543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004033755,"about_ca_topic_score_gemma":0.0001705404,"domain_scores_codex":[0.9989355,0.00004037796,0.0003133584,0.000321732,0.0001205864,0.0002684454],"domain_scores_gemma":[0.9994841,0.00002072084,0.0001758085,0.000219973,0.00004584057,0.00005355406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000058149,0.00007223678,0.003814934,0.00001434178,0.000006205972,0.000001336383,0.00002741466,0.0001841008,0.9667184,0.0000143082,0.0001102963,0.02897832],"study_design_scores_gemma":[0.0004475207,0.0001355978,0.01454403,0.00002467085,0.00001927088,0.000007068755,0.0001667368,0.0004574252,0.9829056,0.0001673323,0.0009794119,0.0001453607],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986163,0.0001222686,0.0002642765,0.0004848395,0.0001064456,0.0001284106,0.00006507075,0.00007833253,0.0001339994],"genre_scores_gemma":[0.9967873,0.00005334168,0.00283252,0.0001045501,0.00001745556,0.000006583686,0.00004107556,0.00001238204,0.0001448563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02883296,"threshold_uncertainty_score":0.999761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01957320857398009,"score_gpt":0.2609637676146518,"score_spread":0.2413905590406717,"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."}}