{"id":"W4390046332","doi":"10.1021/acs.est.3c05081","title":"The Mining Industry’s Role in Enhanced Weathering and Mineralization for CO<sub>2</sub> Removal","year":2023,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Weathering; Mineralization (soil science); Environmental chemistry; Geochemistry; Environmental science; Mining engineering; Earth science; Geology; Chemistry; Soil science; Soil water","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":[0.001643846,0.0003963431,0.0001717737,0.0005220728,0.001194954,0.002938502,0.0005502937,0.001715958,0.009342773],"category_scores_gemma":[0.001086295,0.0001927866,0.0001945683,0.0006433302,0.001103916,0.002574747,0.001733961,0.0009471808,0.001931412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001748398,"about_ca_system_score_gemma":0.003223604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002202344,"about_ca_topic_score_gemma":0.004861305,"domain_scores_codex":[0.9992276,0.0001455424,0.00002553302,0.0001108831,0.0003463667,0.0001440259],"domain_scores_gemma":[0.9990184,0.000168894,0.0001256973,0.00007409594,0.0004367258,0.0001761596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003466269,0.0008349494,0.02457342,0.001329971,0.00006038829,0.001465055,0.0008704336,0.00455559,0.08021617,0.2699558,0.06687922,0.5489123],"study_design_scores_gemma":[0.00003259856,0.0003876334,0.011855,0.0002926993,0.00003197891,0.001173086,0.002176447,0.009271932,0.05461941,0.03914911,0.8809626,0.00004763112],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2312929,0.01595929,0.0342258,0.07593799,0.00144366,0.000208083,0.00028812,0.0005550391,0.6400891],"genre_scores_gemma":[0.825864,0.01292199,0.02770605,0.005459631,0.0002512475,0.00005040798,0.0001829542,0.0000899361,0.1274739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009342773,"threshold_uncertainty_score":0.03125465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008111836340941191,"score_gpt":0.2446094320853748,"score_spread":0.2364975957444336,"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."}}