{"id":"W4286711924","doi":"10.1039/d2ew00321j","title":"Mechanism of galvanic reduction of selenate oxyanions and surface immobilization by nano zero-valent iron aggregates under anaerobic conditions: towards high electron efficiency","year":2022,"lang":"en","type":"article","venue":"Environmental Science Water Research & Technology","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Zerovalent iron; Galvanic cell; Selenate; Electron; Nano-; Reduction (mathematics); Chemistry; Inorganic chemistry; Materials science; Chemical engineering; Metallurgy; Nanotechnology; Physical chemistry; Selenium; Physics; Composite material; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0010934,0.0001643656,0.0002120279,0.0005220823,0.0004230487,0.00001756029,0.0004559551,0.00009517746,0.0003396629],"category_scores_gemma":[0.00001749009,0.0001526048,0.00002667627,0.000714452,0.001613985,0.0003296915,0.0005486211,0.000257199,0.00001804627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009724619,"about_ca_system_score_gemma":0.00002828799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004243184,"about_ca_topic_score_gemma":0.00000127118,"domain_scores_codex":[0.997527,0.0001274482,0.0003884828,0.0004448654,0.0009078447,0.0006043359],"domain_scores_gemma":[0.999477,0.00001799017,0.00008527225,0.0003279856,0.00001372725,0.00007804255],"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":[0.000008293929,0.0001317005,0.0001157049,0.00001977132,0.000008467043,6.975277e-7,0.0001712578,0.01052359,0.9877044,0.001156766,0.00002654976,0.0001328007],"study_design_scores_gemma":[0.000312923,0.0005333025,0.0005292805,0.00001109588,0.000007879919,0.00002756495,0.0007139178,0.0006077142,0.993453,0.003589669,0.00007014885,0.0001435399],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981263,0.0005065534,0.0002350816,0.000202443,0.0001376934,0.0005755556,0.00009701178,0.0000926856,0.00002663136],"genre_scores_gemma":[0.9984692,0.00101135,0.0002103292,0.000003627981,0.000004676711,0.0001019668,0.0000906174,0.00002828087,0.00007989771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009915878,"threshold_uncertainty_score":0.6223044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00815297439529145,"score_gpt":0.2439432579665223,"score_spread":0.2357902835712309,"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."}}