{"id":"W2146034720","doi":"10.1002/rog.20004","title":"Enhanced chemical weathering as a geoengineering strategy to reduce atmospheric carbon dioxide, supply nutrients, and mitigate ocean acidification","year":2013,"lang":"en","type":"article","venue":"Reviews of Geophysics","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":693,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Universität Hamburg; Deutsche Forschungsgemeinschaft; University of Oxford; National Science Foundation","keywords":"Alkalinity; Weathering; Environmental science; Carbon dioxide; Ocean acidification; Nutrient; Environmental chemistry; Dissolution; Carbon dioxide in Earth's atmosphere; Carbon sequestration; Greenhouse gas; Silicate minerals; Carbon cycle; Ecosystem; Silicate; Chemistry; Seawater; Geology; Oceanography; Ecology; Geochemistry","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":[0.00007177552,0.0001271311,0.0002044404,0.000005195663,0.00003028235,0.0000185517,0.0001104221,0.0000359656,0.0003789208],"category_scores_gemma":[0.00004545656,0.0001156238,0.00004939077,0.0001972366,0.0000449524,0.0001726216,0.00006156859,0.00008673618,0.0002501411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005258989,"about_ca_system_score_gemma":0.000006491131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005021263,"about_ca_topic_score_gemma":0.000004378287,"domain_scores_codex":[0.9991998,0.00002455595,0.00027704,0.0002264374,0.0001093586,0.0001628021],"domain_scores_gemma":[0.9995553,0.00001887021,0.0001024363,0.0002077702,0.00001820366,0.00009739689],"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":[0.000004271338,0.00004796336,0.0002503043,0.00003708155,0.000005848713,4.000884e-7,0.0002607997,0.0003806824,0.9528066,0.000222152,0.00008425147,0.04589962],"study_design_scores_gemma":[0.0006349472,0.0005526249,0.05345829,0.0005070254,0.00008592636,0.00003321915,0.0004447856,0.005649897,0.910161,0.004401871,0.02300114,0.001069302],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957912,0.0002185568,0.0002481005,0.0001198359,0.00004097773,0.0004958044,9.061599e-7,0.000023937,0.00306066],"genre_scores_gemma":[0.9973171,0.000875839,0.001254562,0.00007136531,0.0000303157,0.00005667186,0.000005375437,0.00000858342,0.000380158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05320799,"threshold_uncertainty_score":0.4715003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009395893286041936,"score_gpt":0.238097611080039,"score_spread":0.2287017177939971,"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."}}