{"id":"W2936919408","doi":"10.1016/j.scitotenv.2019.04.045","title":"Manipulating redox conditions to enhance in situ bioremediation of RDX in groundwater at a contaminated site","year":2019,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"Ministère de la Défense Nationale; Defence Research and Development Canada","keywords":"Bioremediation; Environmental chemistry; Biodegradation; Contamination; Chemistry; Biostimulation; Microbial population biology; Groundwater; Biology; Ecology; Bacteria; Organic chemistry","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":[0.0002066623,0.0002871983,0.0002465566,0.0001328916,0.0001969661,0.0005451914,0.0002800441,0.0003300744,0.0006534026],"category_scores_gemma":[0.0002438612,0.0001243295,0.0001662931,0.0001269193,0.000179323,0.0002200937,0.00024396,0.0003734318,0.00008481573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002682474,"about_ca_system_score_gemma":0.0002064526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001440484,"about_ca_topic_score_gemma":0.002443037,"domain_scores_codex":[0.9998423,0.00003040675,0.0000134691,0.00003653915,0.00003262435,0.00004465187],"domain_scores_gemma":[0.9999324,0.00001685588,0.00001913708,0.000005085397,0.00001456552,0.00001188024],"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":[0.00004526385,0.0000244391,0.0002864864,0.0000151199,0.000002722674,0.00002032507,0.00001748105,0.0001195965,0.9985879,0.00002113689,0.00000899619,0.0008504638],"study_design_scores_gemma":[0.000008967412,0.0001880545,0.001657129,0.000002130219,0.000008673354,0.00002595247,0.00006535,0.0008999552,0.9968184,0.00002402055,0.0002974261,0.000004011481],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978464,0.00009492347,0.001589852,0.00007227901,0.00001101735,0.00001097227,0.00005346926,0.00002178402,0.0002993157],"genre_scores_gemma":[0.9974952,0.0001143788,0.001900665,0.00002186867,0.000004185149,0.00000701263,0.00004250231,0.000007706819,0.0004065778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001440484,"threshold_uncertainty_score":0.002864182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006316019028311543,"score_gpt":0.2162346355971289,"score_spread":0.2099186165688173,"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."}}