{"id":"W3187322288","doi":"10.20944/preprints202108.0124.v1","title":"Overview Of Approaches to Improve Rhizoremediation of Petroleum Hydrocarbon-Contaminated Soils","year":2021,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; King Saud University; Genome Canada","keywords":"Phytoremediation; Rhizobacteria; Environmental remediation; Rhizosphere; Microbial inoculant; Environmental science; Biochemical engineering; Soil contamination; Soil water; Contamination; Biology; Engineering; Ecology; Soil science; Bacteria","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":[0.0004654868,0.001019497,0.0009685488,0.002122009,0.0003358902,0.001062343,0.0005329786,0.0009487501,0.003034005],"category_scores_gemma":[0.0003459222,0.0004172825,0.001083326,0.001472457,0.0002054554,0.001111211,0.0005176029,0.001042505,0.001867081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004958303,"about_ca_system_score_gemma":0.0009949185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001041164,"about_ca_topic_score_gemma":0.001359838,"domain_scores_codex":[0.9996907,0.00003945635,0.0000416677,0.00006595803,0.000119073,0.00004322305],"domain_scores_gemma":[0.9998475,0.00004274596,0.00003085907,0.00001032771,0.00005160249,0.00001690667],"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":[0.0002170917,0.0003242036,0.0005958301,0.04483137,0.0002901386,0.0003886734,0.000206568,0.002185775,0.1532634,0.006766343,0.01030119,0.7806295],"study_design_scores_gemma":[0.00003262196,0.0006526316,0.002547239,0.002773475,0.0004603025,0.001152503,0.0001187627,0.0008436672,0.0659145,0.00262928,0.9227949,0.0000800895],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007620406,0.968307,0.01079865,0.0008164325,0.0003705752,0.0001163152,0.0006663565,0.0002341896,0.01107007],"genre_scores_gemma":[0.02059645,0.9611735,0.01239235,0.0004490642,0.0001724128,0.00012001,0.0007737395,0.00004036832,0.004282117],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003034005,"threshold_uncertainty_score":0.01014972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1571762250953108,"score_gpt":0.2937032387010297,"score_spread":0.1365270136057189,"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."}}