{"id":"W2474326497","doi":"10.1002/ghg.1608","title":"Influence of process parameters on carbonation rate and conversion of steelmaking slags – Introduction of the ‘carbonation weathering rate’","year":2016,"lang":"en","type":"article","venue":"Greenhouse Gases Science and Technology","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Sheridan College","funders":"","keywords":"Carbonation; Steelmaking; Basic oxygen steelmaking; Metallurgy; Mineralization (soil science); Slag (welding); Weathering; Waste management; Environmental science; Materials science; Chemistry; Geology; Engineering; Geochemistry; Soil science; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003450683,0.00006016049,0.00008605737,0.0001489805,0.00009180545,0.000004417258,0.0001457293,0.00004690861,0.00001368164],"category_scores_gemma":[0.0004694289,0.00003697989,0.00001041139,0.0006104974,0.001686933,0.0002720294,0.0000903265,0.00005053501,8.663026e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004446146,"about_ca_system_score_gemma":0.00002528179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001166385,"about_ca_topic_score_gemma":0.00005890924,"domain_scores_codex":[0.9993234,0.00002870773,0.00016727,0.0002068047,0.0001766917,0.00009711127],"domain_scores_gemma":[0.9994629,0.00005772832,0.0002153396,0.0001590477,0.00008966411,0.00001533795],"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":[0.00002667311,0.00002902126,0.07898153,0.00001448243,0.000002916069,3.134978e-7,0.0002142107,0.001673887,0.9086218,0.003157393,0.000005861314,0.007271845],"study_design_scores_gemma":[0.0002238418,0.0002573917,0.1573032,0.00005463715,0.000009455859,0.00001320612,0.0003143676,0.001096787,0.8387453,0.001809567,0.0001053339,0.00006689712],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99784,0.000005616252,0.00005255406,0.001761363,0.00004085444,0.0001331103,0.000001915417,0.00001864665,0.0001459361],"genre_scores_gemma":[0.9998302,0.00002863174,0.00006859378,0.00002760199,0.000003574567,0.000005447212,1.422291e-7,0.00000211428,0.00003371063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07832167,"threshold_uncertainty_score":0.6215574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007156870094351035,"score_gpt":0.2227807488404741,"score_spread":0.215623878746123,"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."}}