{"id":"W2924666026","doi":"10.29173/ikc3917","title":"Potential for offsetting diamond mine carbon emissions through mineral carbonation of processed kimberlite","year":2019,"lang":"en","type":"article","venue":"","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Kimberlite; Carbonation; Diamond; Carbon fibers; Mineral; Environmental science; Diamond-like carbon; Greenhouse gas; Waste management; Mining engineering; Metallurgy; Materials science; Geology; Geochemistry; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002470844,0.0002147896,0.0002276885,0.0005697816,0.0004211887,0.0008555675,0.000377903,0.0006408616,0.00403672],"category_scores_gemma":[0.0003158118,0.0001001522,0.0002588858,0.0003191473,0.000343079,0.0005680881,0.0002663786,0.0004235689,0.0003656355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007570098,"about_ca_system_score_gemma":0.0006464983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002971584,"about_ca_topic_score_gemma":0.01123307,"domain_scores_codex":[0.9998934,0.00001200757,0.000003334828,0.00001732481,0.0000378675,0.00003597086],"domain_scores_gemma":[0.9998744,0.00002714234,0.00001308555,0.00001504396,0.00005642655,0.00001395718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002270793,0.0003192713,0.0106159,0.0006252389,0.00009360868,0.0007791352,0.00009900077,0.006574026,0.9065713,0.008743869,0.0006460181,0.0626618],"study_design_scores_gemma":[0.0001639453,0.001112263,0.02120818,0.0001003595,0.0001326645,0.0003902944,0.0005003273,0.01074666,0.9442965,0.003476316,0.01783185,0.00004054344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893718,0.0008095349,0.001362755,0.0002040437,0.00003179801,0.00001214672,0.00006343498,0.00002635622,0.008118067],"genre_scores_gemma":[0.9959209,0.0003270285,0.001022199,0.00002902726,0.000005256195,0.00000468027,0.00004047858,0.000008153028,0.002642248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00403672,"threshold_uncertainty_score":0.01350421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007820021321564325,"score_gpt":0.2159038420052255,"score_spread":0.2080838206836612,"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."}}