{"id":"W2224973295","doi":"10.1007/s12613-015-1162-3","title":"Ultra-fine grinding and mechanical activation of mine waste rock using a high-speed stirred mill for mineral carbonation","year":2015,"lang":"en","type":"article","venue":"International Journal of Minerals Metallurgy and Materials","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"China Scholarship Council","keywords":"Carbonation; Slurry; Carbon sequestration; Grinding; Materials science; Waste management; Mineral; Environmental science; Metallurgy; Carbon dioxide; Composite material; Chemistry; Engineering","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":[0.0005634589,0.0001061339,0.000236368,0.0001115219,0.00002970184,0.00004363625,0.0001021581,0.00006070732,0.0002307332],"category_scores_gemma":[0.0003697382,0.00008670365,0.00004485175,0.0000471471,0.00003774005,0.0004154517,0.00004287983,0.00004672472,0.000001083392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006930729,"about_ca_system_score_gemma":0.00002085431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003398476,"about_ca_topic_score_gemma":0.00005888661,"domain_scores_codex":[0.9988947,0.00007193932,0.0005290768,0.0001232139,0.0002865693,0.00009450647],"domain_scores_gemma":[0.9990862,0.0001000703,0.0005008613,0.00004620563,0.0001892323,0.00007745811],"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":[0.0004084194,0.00005899079,0.0001662885,0.000006250657,0.00007662123,0.000003874641,0.0001414361,0.003782962,0.9940369,0.0008553133,0.000257061,0.000205849],"study_design_scores_gemma":[0.003738304,0.0006178315,0.003706968,0.000120887,0.000140045,0.0005005691,0.0002754309,0.007585757,0.9757579,0.005364299,0.001931819,0.0002601926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933072,0.00002012134,0.004467473,0.001145977,0.000824159,0.0001230938,0.00001987268,0.000004135856,0.00008794739],"genre_scores_gemma":[0.9939578,0.00001674321,0.00525046,0.00005892323,0.0002576946,0.00000265782,0.00002442837,0.000006568397,0.0004247222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01827904,"threshold_uncertainty_score":0.3535672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04559622325653332,"score_gpt":0.2959925340807641,"score_spread":0.2503963108242308,"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."}}