{"id":"W4405299962","doi":"10.1016/j.scitotenv.2024.178038","title":"Hydrous ferric arsenate transformation coupled with As, Fe, and S environmental cycling in sulfidic systems under anoxic and circumneutral conditions","year":2024,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"National Natural Science Foundation of China","keywords":"Anoxic waters; Cycling; Arsenate; FERRIC IRON; Environmental chemistry; Transformation (genetics); Ferric; Arsenic; Geochemistry; Geology; Chemistry; Environmental science; Inorganic chemistry; Ferrous; Geography","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":[0.0001150916,0.0001228421,0.0001375142,0.0001600221,0.0002679755,0.0003852808,0.000195721,0.000152757,0.0007115151],"category_scores_gemma":[0.0001509882,0.0001024314,0.00009994909,0.0001415872,0.0003058285,0.0002012036,0.0002081773,0.0001738393,0.000098643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004576009,"about_ca_system_score_gemma":0.000387674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01372031,"about_ca_topic_score_gemma":0.01443758,"domain_scores_codex":[0.9999276,0.000009407841,0.000005338124,0.00002204637,0.00001617667,0.00001932692],"domain_scores_gemma":[0.9999502,0.00001116407,0.000007494563,0.000004582921,0.00001201962,0.00001450238],"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":[0.000864578,0.00004704488,0.005602323,0.0000400684,0.00001379046,0.0001167739,0.0001618651,0.001051319,0.9886291,0.0004733671,0.0000917244,0.002908048],"study_design_scores_gemma":[0.0000843204,0.0009316481,0.06614318,0.000009574469,0.00003411778,0.0001672912,0.0007286537,0.02261363,0.9064707,0.0007363972,0.002048638,0.00003194907],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994018,0.00003746023,0.00009652284,0.00001051107,0.000002362498,0.000002615032,0.00005339386,0.000003811909,0.0003914424],"genre_scores_gemma":[0.9993789,0.00003833318,0.0001333338,0.00000355949,0.000001186994,0.000001751971,0.00006156465,0.000001130266,0.0003802188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01372031,"threshold_uncertainty_score":0.02728087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005627272028642823,"score_gpt":0.1987777611582653,"score_spread":0.1931504891296225,"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."}}