{"id":"W2324614750","doi":"10.2113/gselements.9.2.115","title":"Serpentinite Carbonation for CO2 Sequestration","year":2013,"lang":"en","type":"article","venue":"Elements","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":178,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Carbon Management Canada","keywords":"Carbonation; Carbon sequestration; Pulmonary sequestration; Environmental science; Geology; Natural resource economics; Chemistry; Carbon dioxide; Chemical engineering; Economics; Engineering; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001864479,0.0003812756,0.000214094,0.0003600367,0.0004895595,0.0007647779,0.0002869126,0.0004204082,0.00679797],"category_scores_gemma":[0.0002491439,0.000085767,0.0001785083,0.0003148045,0.0003535557,0.0005414372,0.0004149776,0.0004003725,0.0006977355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008157946,"about_ca_system_score_gemma":0.0004938523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003342011,"about_ca_topic_score_gemma":0.009972232,"domain_scores_codex":[0.9998395,0.00001890771,0.000006738114,0.00004279268,0.00005233034,0.00003957261],"domain_scores_gemma":[0.9998164,0.000042269,0.00003841573,0.00001990294,0.00005226922,0.00003080754],"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":[0.0007952745,0.0001264673,0.00753854,0.0006314756,0.00007423515,0.0009356776,0.00009966347,0.004949591,0.9400705,0.01076823,0.001800646,0.03220974],"study_design_scores_gemma":[0.00004427556,0.000483292,0.01494811,0.0000712217,0.0000752752,0.0007575541,0.0002642334,0.008603107,0.900198,0.004394796,0.07012327,0.00003676571],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9414688,0.007198757,0.003296719,0.001010042,0.0001797487,0.00002921556,0.0003076183,0.000205976,0.04630307],"genre_scores_gemma":[0.9963803,0.000559358,0.0004714203,0.00004300361,0.00001148178,0.000002683623,0.00004602768,0.000007621039,0.00247817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00679797,"threshold_uncertainty_score":0.0227415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454240674020217,"score_gpt":0.2653819000830983,"score_spread":0.2508394933428961,"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."}}