{"id":"W2037359678","doi":"10.1016/j.ijggc.2013.04.004","title":"Accelerated mineral carbonation of stainless steel slags for CO2 storage and waste valorization: Effect of process parameters on geochemical properties","year":2013,"lang":"en","type":"article","venue":"International journal of greenhouse gas control","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":251,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Onderzoeksraad, KU Leuven; KU Leuven","keywords":"Carbonation; Slurry; Metallurgy; Slag (welding); Basic oxygen steelmaking; Materials science; Waste management; Steelmaking; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002461948,0.0003362489,0.0003326246,0.000351516,0.0002693828,0.0003961227,0.0002420488,0.0003792132,0.001279688],"category_scores_gemma":[0.0003770526,0.0001482965,0.0003581643,0.0003336606,0.0002036886,0.0003008096,0.0001758269,0.0003618665,0.0002077484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004704101,"about_ca_system_score_gemma":0.0006046137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003167984,"about_ca_topic_score_gemma":0.01013446,"domain_scores_codex":[0.9998282,0.00001787654,0.00001603291,0.0000274462,0.00005734169,0.00005305435],"domain_scores_gemma":[0.9998272,0.00003948941,0.0000325471,0.00001664606,0.00005718103,0.00002688258],"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":[0.0007828017,0.00006646815,0.0005903302,0.00008778382,0.00001697666,0.00006080544,0.00004370964,0.0008144322,0.9924197,0.00009822877,0.0000746654,0.004944164],"study_design_scores_gemma":[0.00002005004,0.0002882472,0.002285525,0.000003365471,0.0000119777,0.00003354946,0.00003119614,0.00127967,0.9954742,0.00002580626,0.0005380301,0.000008439534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987663,0.0001879948,0.0004594714,0.00001759042,0.00001461875,0.000008216743,0.00007353884,0.00001939301,0.0004528331],"genre_scores_gemma":[0.9987258,0.0001102236,0.0004516878,0.000007067805,0.000003214218,0.000003287051,0.00008123408,0.000008545515,0.0006088917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003167984,"threshold_uncertainty_score":0.006299078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296693383396979,"score_gpt":0.2487094822381537,"score_spread":0.2357425484041839,"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."}}