{"id":"W4385074123","doi":"10.1111/gwmr.12607","title":"Evaluation of Strategies to Remediate Mixed Wastes at an Industrial Site in Brazil","year":2023,"lang":"en","type":"article","venue":"Groundwater Monitoring & Remediation","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; Corteva Agriscience","keywords":"Biodegradation; Environmental remediation; Chlorobenzene; Environmental chemistry; Anaerobic exercise; Microcosm; Reductive dechlorination; Chemistry; Zerovalent iron; Contamination; Waste management; Environmental science; Organic chemistry; Ecology; Biology; Catalysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002688813,0.0001646138,0.0001755546,0.0002191263,0.00008102696,0.00006434308,0.0001867985,0.0001552641,0.0002846326],"category_scores_gemma":[0.0002200532,0.0001558409,0.00003673965,0.0008823276,0.00004825843,0.0006914517,0.0001585609,0.0001110106,0.0008540005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007117245,"about_ca_system_score_gemma":0.00004717275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006581706,"about_ca_topic_score_gemma":0.002036259,"domain_scores_codex":[0.9972433,0.0002932245,0.0004676726,0.0003830376,0.001265717,0.0003470011],"domain_scores_gemma":[0.9993372,0.00005048322,0.0001635972,0.0002481658,0.00007341584,0.000127144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004102929,0.00004298926,0.3354916,0.000004516579,0.000005016585,0.000001274744,0.002285815,0.00354193,0.6436408,0.000001339001,0.0003670331,0.01457671],"study_design_scores_gemma":[0.0008781265,0.0001178968,0.7308906,0.00002565058,0.00002353449,4.569793e-7,0.0004671901,0.001190059,0.2657043,0.0001017666,0.0004156478,0.0001847349],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997445,0.000006138954,0.00001517445,0.0001767226,0.00160429,0.0004848473,0.00001035086,0.00008002367,0.0001774715],"genre_scores_gemma":[0.9990989,0.00002012076,0.0001499681,0.00001451014,0.0004040939,0.00002931842,0.0001441831,0.00001785072,0.0001210461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.395399,"threshold_uncertainty_score":0.9999239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06732323930851769,"score_gpt":0.3063330712056319,"score_spread":0.2390098318971142,"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."}}