{"id":"W3169735042","doi":"10.1002/rem.21689","title":"The in situ treatment of Basic Violet 16 synthetic dye in groundwater","year":2021,"lang":"en","type":"article","venue":"Remediation Journal","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Sequoia Environmental Remediation (Canada)","funders":"","keywords":"Groundwater; Aquifer; Dissolved organic carbon; Environmental science; Wastewater; Water treatment; Sewage treatment; Environmental engineering; Total organic carbon; Contamination; Waste management; Environmental chemistry; Chemistry; Geology; Engineering; Ecology","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":[0.0001266836,0.000183996,0.0002241878,0.0001055448,0.0001367811,0.0002847858,0.0001668552,0.0002046493,0.0004175042],"category_scores_gemma":[0.0001441566,0.00009829932,0.0001313836,0.000138211,0.0001668008,0.000114343,0.0001587736,0.0001954448,0.00006859547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002882869,"about_ca_system_score_gemma":0.0002018159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00223317,"about_ca_topic_score_gemma":0.002727869,"domain_scores_codex":[0.9998831,0.00002387183,0.00000640214,0.00002411568,0.00003711218,0.00002540566],"domain_scores_gemma":[0.9999216,0.00001989375,0.00002620898,0.000004380253,0.00002071345,0.000007145669],"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":[0.00002408476,0.000009860019,0.0002446016,0.00002046793,0.000001371013,0.0000149181,0.00001467758,0.0001609985,0.998659,0.00000914756,0.000007076437,0.0008337918],"study_design_scores_gemma":[0.0000039893,0.0004172283,0.001176355,0.000002492653,0.000005434971,0.00003361422,0.00004702618,0.0009308699,0.997061,0.00001381164,0.0003055359,0.000002633103],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977969,0.00009583864,0.001574829,0.0000208998,0.00000526714,0.00001128534,0.00005134738,0.00001544632,0.0004283029],"genre_scores_gemma":[0.9967821,0.0001925417,0.002329551,0.0000182067,0.000002479352,0.000008978413,0.0000356841,0.000005857976,0.0006246968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00223317,"threshold_uncertainty_score":0.004440308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009025422076459481,"score_gpt":0.223863006645965,"score_spread":0.2148375845695056,"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."}}