{"id":"W4407772726","doi":"10.1002/rem.70014","title":"In Situ Treatment‐Train Remediation of Per‐ and Polyfluoroalkyl Substance–Impacted Groundwater","year":2025,"lang":"en","type":"article","venue":"Remediation Journal","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Armed Forces; Public Works and Government Services Canada","funders":"","keywords":"Environmental remediation; Groundwater; Groundwater contamination; Environmental science; In situ; Waste management; Mining engineering; Geology; Environmental engineering; Environmental chemistry; Geotechnical engineering; Engineering; Contamination; Chemistry; Aquifer; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005331454,0.0001384993,0.0002064583,0.0002279154,0.0001131852,0.00005177107,0.000138114,0.00009449268,0.0009798914],"category_scores_gemma":[0.00007583127,0.0001130099,0.00005425576,0.0004451603,0.0001095817,0.0006107177,0.00002408953,0.0001998528,0.00003265983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005613695,"about_ca_system_score_gemma":0.00006360665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001661007,"about_ca_topic_score_gemma":0.001526037,"domain_scores_codex":[0.9984704,0.0001579406,0.0004173947,0.0001990808,0.0004295389,0.0003256412],"domain_scores_gemma":[0.9994472,0.0001006551,0.0001447914,0.0001392115,0.00002774317,0.0001403706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001778674,0.0002181772,0.4554188,0.00001494117,0.00003356324,0.0000199104,0.004547383,0.0001043428,0.3674494,0.0001458638,0.001933125,0.1699366],"study_design_scores_gemma":[0.002620506,0.0002774191,0.9347348,0.00004425437,0.00002385395,0.00003365954,0.0004894564,0.000831297,0.04541262,0.002149176,0.01316781,0.0002151263],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905193,0.002740188,0.0003634199,0.00133666,0.0002458339,0.0001799426,0.000004661862,0.000009955685,0.004599972],"genre_scores_gemma":[0.9950851,0.002935786,0.0004057003,0.0001181549,0.0001035852,0.000008521592,0.00001213716,0.000008020534,0.00132303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.479316,"threshold_uncertainty_score":0.9999334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463182870713506,"score_gpt":0.2824739218134761,"score_spread":0.267842093106341,"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."}}