{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007234456,0.0000923723,0.0001516844,0.00003835611,0.00001293947,0.00001141787,0.00007346101,0.00007612458,0.00004034117],"category_scores_gemma":[0.00001464326,0.00008971251,0.00005065856,0.0000549837,0.000007244916,0.0001005738,0.00001630755,0.00004731278,0.000001071669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002551434,"about_ca_system_score_gemma":0.00001192434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006302036,"about_ca_topic_score_gemma":0.0000107259,"domain_scores_codex":[0.9994649,0.000002631293,0.0002251134,0.0001161228,0.0000473732,0.0001438091],"domain_scores_gemma":[0.999736,0.00002459633,0.00004470055,0.0001311496,0.00003864789,0.00002497785],"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":[0.00006627379,0.00008338341,0.00837283,0.001527342,0.0001251152,0.000001128074,0.002001182,0.1097798,0.8647497,0.003235071,0.005293844,0.004764344],"study_design_scores_gemma":[0.0004402257,0.00006277487,0.0007087949,0.00005191716,0.00001989226,0.000001534506,0.000116062,0.9223074,0.07365991,0.0004721458,0.001963237,0.0001961378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779199,0.00004957639,0.003935112,0.00005771363,0.0001708043,0.0002740315,0.000008775349,0.0001754467,0.01740859],"genre_scores_gemma":[0.9746401,0.000008863215,0.02442857,0.00001470164,0.00007381997,0.00002640272,0.00003498349,0.00002512723,0.0007473846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8125275,"threshold_uncertainty_score":0.365837,"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."}}