{"id":"W2023307361","doi":"10.2166/wst.2000.0539","title":"Bioremediation of highly energetic compounds: a search for remediation technologies","year":2000,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Biotechnology Research Institute","funders":"","keywords":"Mineralization (soil science); Chemistry; Bioremediation; Biotransformation; Phanerochaete; Biodegradation; Environmental chemistry; Toluene; Environmental remediation; Trinitrotoluene; Nuclear chemistry; Slurry; Organic chemistry; Contamination; Environmental engineering; Nitrogen","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":[0.0002108793,0.0004829561,0.0003649562,0.000517668,0.0002026829,0.0007363275,0.000326758,0.0006535604,0.001375518],"category_scores_gemma":[0.0001411182,0.000127943,0.0002299075,0.000358985,0.0002743163,0.0007556403,0.0003067667,0.0003628785,0.0004841196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005372218,"about_ca_system_score_gemma":0.0004169168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004500948,"about_ca_topic_score_gemma":0.0008493303,"domain_scores_codex":[0.9999063,0.00001447475,0.000005212356,0.00002367775,0.00002743317,0.00002290234],"domain_scores_gemma":[0.9999409,0.00001014916,0.00001607003,0.000005293713,0.00001463158,0.0000129375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006658264,0.0001509575,0.0008125946,0.0004506219,0.0000109072,0.0001772899,0.00002484211,0.0006383481,0.9547052,0.001221058,0.00017902,0.04156255],"study_design_scores_gemma":[0.00003287072,0.0009210636,0.00642585,0.0001003742,0.00004835855,0.001269716,0.0002280717,0.003263555,0.954501,0.001929043,0.03126483,0.00001525374],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.8551322,0.08061416,0.05014915,0.003151763,0.0001154549,0.0001514058,0.0002926058,0.0004264219,0.009966757],"genre_scores_gemma":[0.9112134,0.04540832,0.03378937,0.0004548746,0.00008105394,0.00008512895,0.0004952864,0.00003958962,0.008432901],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.001375518,"threshold_uncertainty_score":0.004601598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009114141942880596,"score_gpt":0.2245053101272647,"score_spread":0.2153911681843841,"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."}}