{"id":"W4393058019","doi":"10.1016/j.watres.2024.121502","title":"Exploring nature's filters: Peat-mineral mix for low and high-strength oilfield produced water reclamation","year":2024,"lang":"en","type":"article","venue":"Water Research","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Wastewater; Chemistry; Environmental chemistry; Organic matter; Chemisorption; Adsorption; Biofilter; Methanosaeta; Peat; Anaerobic digestion; Environmental science; Environmental engineering; Ecology; Methane; Organic chemistry","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":[0.0003620987,0.0001900419,0.0001741402,0.0002354319,0.0007096535,0.0007377688,0.0003602701,0.0004724762,0.002067967],"category_scores_gemma":[0.0003448067,0.0001169266,0.0002212197,0.0001476432,0.0002735988,0.0008028506,0.0003132286,0.0002924083,0.000238708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009771381,"about_ca_system_score_gemma":0.001030189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01109157,"about_ca_topic_score_gemma":0.03903491,"domain_scores_codex":[0.9998435,0.00002217062,0.000004983127,0.00002717315,0.00006710614,0.00003510162],"domain_scores_gemma":[0.9998534,0.00005102262,0.00001859475,0.000007786771,0.00004223559,0.00002697507],"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":[0.001463833,0.0005436054,0.01417472,0.0002523823,0.00002285181,0.0002346519,0.0003436383,0.008123434,0.9284786,0.001225714,0.0006688192,0.04446784],"study_design_scores_gemma":[0.00007866707,0.002333685,0.02719505,0.00003073639,0.00007493488,0.0002063135,0.001741122,0.02925353,0.9283898,0.0006103233,0.01004398,0.00004192273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948814,0.0001221412,0.00223715,0.00008850868,0.00001243258,0.00001954557,0.00005938209,0.000049659,0.00252974],"genre_scores_gemma":[0.9951512,0.0001070854,0.002585489,0.00002187249,0.000002099864,0.000008001973,0.00003227625,0.00001934442,0.002072666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01109157,"threshold_uncertainty_score":0.02205402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0542013512659883,"score_gpt":0.2878726473242742,"score_spread":0.2336712960582859,"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."}}