{"id":"W4400399728","doi":"10.1038/s43247-024-01506-4","title":"Magnesium hydroxide addition reduces aqueous carbon dioxide in wastewater discharged to the ocean","year":2024,"lang":"en","type":"article","venue":"Communications Earth & Environment","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Metamaterial Technologies (Canada)","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Alkalinity; Carbon dioxide; Wastewater; Seawater; Magnesium; Chemistry; Dilution; Ocean acidification; Total inorganic carbon; Environmental chemistry; Environmental science; Inorganic chemistry; Environmental engineering; Oceanography; Geology; 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":[0.0001552159,0.000240908,0.0002437301,0.0001529836,0.000112272,0.0003396724,0.0001692745,0.0003032263,0.0005174446],"category_scores_gemma":[0.0002368813,0.00009936579,0.000178849,0.0001089187,0.0001719294,0.0001191755,0.0002351544,0.0002504445,0.0001115671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002675843,"about_ca_system_score_gemma":0.0002259151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00201818,"about_ca_topic_score_gemma":0.002659312,"domain_scores_codex":[0.9998525,0.00002442684,0.00001318652,0.00002735416,0.00005396855,0.0000283884],"domain_scores_gemma":[0.9999183,0.00001670734,0.00001879281,0.00000632675,0.00002781575,0.00001199462],"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":[0.00007656681,0.00001333165,0.0001673199,0.00002959832,0.000002217398,0.00001582739,0.000006483776,0.00005918306,0.9986577,0.000005573395,0.00001412915,0.0009519932],"study_design_scores_gemma":[0.000008122323,0.0002759394,0.0009053053,0.000002430913,0.000005071698,0.00001083947,0.00001626368,0.0003948715,0.9980285,0.000004434423,0.0003464913,0.000001827895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986722,0.0001194247,0.0004398184,0.00004350527,0.00001237058,0.00002135644,0.00005530455,0.0000238211,0.0006121577],"genre_scores_gemma":[0.9973608,0.000137269,0.001178845,0.00003054365,0.00000389673,0.00001179447,0.00006435085,0.000006230045,0.001206322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00201818,"threshold_uncertainty_score":0.004012823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00997753039583069,"score_gpt":0.198492105057395,"score_spread":0.1885145746615643,"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."}}