{"id":"W1994639494","doi":"10.1002/cjce.5450810373","title":"CO<sub>2</sub> Mineral Sequestration: Chemically Enhanced Aqueous Carbonation of Serpentine","year":2003,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":227,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ohio Coal Development Office; Ohio Department of Development","keywords":"Carbonation; Flue gas; Carbon sequestration; Mineral; Dissolution; Greenhouse gas; Coal; Aqueous solution; Chemistry; Carbon dioxide; Environmental science; Environmental chemistry; Chemical engineering; Mineralogy; Geology; Organic chemistry; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000737798,0.0002578918,0.0001972864,0.0001570902,0.0001687744,0.0002947365,0.0001613314,0.0002304951,0.001123926],"category_scores_gemma":[0.0001060516,0.0000713323,0.0001049279,0.0001081469,0.0002545786,0.0002117884,0.0001569481,0.0001904803,0.0002093471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002508132,"about_ca_system_score_gemma":0.0002061882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001934129,"about_ca_topic_score_gemma":0.003303093,"domain_scores_codex":[0.999947,0.000007379922,0.000002598775,0.00001355465,0.00001245904,0.00001698214],"domain_scores_gemma":[0.9999595,0.000009457439,0.00001017884,0.000002512883,0.00001024682,0.000008118946],"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":[0.0001707789,0.00002813815,0.0002877061,0.0001180287,0.000008047774,0.0001547118,0.00002334573,0.001097624,0.9950152,0.0003346382,0.00006693989,0.002694735],"study_design_scores_gemma":[0.00001488128,0.0001868439,0.001112934,0.0000038428,0.000008985588,0.00009473838,0.00002648052,0.002935051,0.993134,0.00006840397,0.002408931,0.000004836264],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954101,0.000821395,0.0008477962,0.0000738891,0.00002930049,0.00001070139,0.00005357905,0.00003635047,0.002716917],"genre_scores_gemma":[0.9977297,0.0002765878,0.0005919989,0.00001491912,0.000003353784,0.000001709999,0.00002879446,0.000006827125,0.001346186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001934129,"threshold_uncertainty_score":0.003845692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006030365071961322,"score_gpt":0.1933388175221079,"score_spread":0.1873084524501465,"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."}}