{"id":"W2062904142","doi":"10.1016/j.energy.2015.03.070","title":"Greenhouse gas abatement costs of hydrogen production from underground coal gasification","year":2015,"lang":"en","type":"article","venue":"Energy","topic":"Mining and Gasification Technologies","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Underground coal gasification; Greenhouse gas; Tonne; Waste management; Environmental science; Life-cycle assessment; Carbon capture and storage (timeline); Engineering; Coal; Environmental engineering; Coal gasification; Production (economics); Climate change; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008333127,0.00008013799,0.00009263463,0.00007071769,0.00001793262,0.000007879771,0.0001079615,0.00006377551,0.00001299731],"category_scores_gemma":[0.00004266455,0.00008201688,0.00001859499,0.0001100995,0.00003110029,0.00007327108,0.00001455346,0.00004221581,0.00001862616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001047758,"about_ca_system_score_gemma":0.0000130126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003803175,"about_ca_topic_score_gemma":0.0001295464,"domain_scores_codex":[0.9994408,0.00001619274,0.0001785265,0.0001346846,0.0001338711,0.00009587831],"domain_scores_gemma":[0.999557,0.00001363949,0.00005042907,0.0002940659,0.00004853765,0.00003639476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008683508,0.0004513928,0.004150034,0.0000656155,0.0004332408,0.000006799404,0.002600644,0.2782651,0.287111,0.042338,0.07602068,0.3084707],"study_design_scores_gemma":[0.0003887163,0.00009209555,0.0008636196,0.00003819717,0.00002579262,0.00000405798,0.001065532,0.01311254,0.9429982,0.004454067,0.03670952,0.000247712],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822176,0.0006548445,0.01350319,0.0003104734,0.0003566701,0.00005338056,0.000007930495,0.000703121,0.002192819],"genre_scores_gemma":[0.9986825,0.0001789545,0.0006607367,0.00000652278,0.00007597297,0.00002575123,0.00005986655,0.00001767898,0.000292034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6558872,"threshold_uncertainty_score":0.3344551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.031481040737962,"score_gpt":0.2285156741792294,"score_spread":0.1970346334412674,"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."}}