{"id":"W2039139356","doi":"10.1080/17480930902843102","title":"Revaluing mine waste rock for carbon capture and storage","year":2009,"lang":"en","type":"article","venue":"International Journal of Mining Reclamation and Environment","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Carbon sequestration; Commodity; Beneficiary; Carbon capture and storage (timeline); Waste management; Value (mathematics); Natural resource economics; Business; Environmental science; Engineering; Carbon dioxide; Economics; Geology; Climate change; Computer science","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":[0.0003229091,0.00007637542,0.00009826964,0.00005994873,0.0000363924,0.00002639077,0.00008755376,0.00004351626,0.00009471837],"category_scores_gemma":[0.00005688765,0.00006397637,0.00003168833,0.00001835734,0.00002151524,0.0001406479,0.00003129827,0.00006113311,0.000001290671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009735872,"about_ca_system_score_gemma":0.000003541567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004408554,"about_ca_topic_score_gemma":0.000001036802,"domain_scores_codex":[0.999265,0.00001967442,0.0002597317,0.0001025529,0.0002800949,0.00007299118],"domain_scores_gemma":[0.9996063,0.00004150491,0.0002375105,0.00004528469,0.00001312971,0.00005627234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005538199,0.0004418142,0.01878957,0.00005092846,0.0002037569,0.00008846086,0.02091901,0.01798592,0.5605464,0.0004661165,0.01280664,0.3671476],"study_design_scores_gemma":[0.0165462,0.006024716,0.3376656,0.001462939,0.000594608,0.001976814,0.01310946,0.2502885,0.1837304,0.01778988,0.1679623,0.002848652],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895094,0.0002297325,0.005979636,0.003205966,0.0001186021,0.000101733,0.00000200631,0.000006702157,0.0008462061],"genre_scores_gemma":[0.992174,0.0004151535,0.006617212,0.0002025821,0.0001368316,0.000002548529,0.000004334822,0.00000478858,0.000442549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.376816,"threshold_uncertainty_score":0.2608881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009413627382013217,"score_gpt":0.2381906311771699,"score_spread":0.2287770037951567,"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."}}