{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002885091,0.00004399632,0.00006402995,0.00002609069,0.00005277692,0.00001754259,0.00004399486,0.00002376738,0.0005262805],"category_scores_gemma":[0.00006428692,0.00003045201,0.00003046821,0.0001331214,0.00003247596,0.0001071848,0.00001242672,0.00005356831,0.0000353869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005030041,"about_ca_system_score_gemma":0.00002878678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002406892,"about_ca_topic_score_gemma":0.002263896,"domain_scores_codex":[0.9992988,0.0001155755,0.0002330467,0.00007447478,0.0001809372,0.00009720968],"domain_scores_gemma":[0.9997222,0.00007369497,0.00008901188,0.00007200769,0.0000115665,0.00003154734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002906334,0.0003961471,0.2240538,0.000003155734,0.00001095438,0.00005215542,0.004596187,0.0006151508,0.06920131,0.000440123,0.0002962312,0.7003058],"study_design_scores_gemma":[0.001593236,0.0001206618,0.9365578,0.00003526889,0.00001063866,0.00007742492,0.001671181,0.001187004,0.03830748,0.002538003,0.01779273,0.0001086112],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944946,0.0001148726,0.000306653,0.001797977,0.0001527079,0.00006365604,3.269533e-7,0.00000219179,0.003067065],"genre_scores_gemma":[0.9986447,0.0006216957,0.00006387669,0.00004873618,0.00003114861,0.0000047207,0.000003616618,0.000002895839,0.0005785748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.712504,"threshold_uncertainty_score":0.5762402,"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."}}