{"id":"W1986971241","doi":"10.1007/s10529-006-9189-1","title":"Ex situ bioremediation of phenol contaminated soil using polymer beads","year":2006,"lang":"en","type":"article","venue":"Biotechnology Letters","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phenol; Bioremediation; Polymer; Biodegradation; Bioreactor; Chemistry; Microbial consortium; Desorption; Bead; Environmental chemistry; Contamination; Chromatography; Materials science; Organic chemistry; Microorganism; Adsorption; Composite material; Bacteria; Biology","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":[0.000219968,0.0004704302,0.0003159742,0.0001959953,0.0001516009,0.0006176211,0.0002363187,0.0003827382,0.000480145],"category_scores_gemma":[0.0001919605,0.0001848454,0.0002156704,0.0001925981,0.0001587667,0.0003539238,0.0002774878,0.000464592,0.0001810846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000222315,"about_ca_system_score_gemma":0.0002717009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001271432,"about_ca_topic_score_gemma":0.001514737,"domain_scores_codex":[0.9998282,0.00002782503,0.000009699555,0.00003327246,0.00004140894,0.00005962803],"domain_scores_gemma":[0.9999141,0.00002971595,0.00001499194,0.000007927577,0.00001397104,0.00001929082],"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":[0.00009071828,0.0000190462,0.0001338705,0.00002749069,0.000004371495,0.00002402211,0.00001237044,0.0001173843,0.9973123,0.00002053012,0.00001580542,0.002222034],"study_design_scores_gemma":[0.000003970193,0.0000779964,0.0004780325,0.000001731005,0.000004164796,0.00001718648,0.00001459462,0.0004379759,0.9986803,0.00001167507,0.0002705671,0.000001782244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939315,0.0006256871,0.004310344,0.00009320546,0.00002942536,0.00001714124,0.0001831589,0.00005881989,0.0007508207],"genre_scores_gemma":[0.9950339,0.000475848,0.002500359,0.0000251971,0.00001043257,0.000009027485,0.0001331793,0.00001416942,0.001797858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001271432,"threshold_uncertainty_score":0.002528071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005822942754900367,"score_gpt":0.188014329576705,"score_spread":0.1821913868218047,"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."}}