{"id":"W1432384569","doi":"10.1007/s11027-015-9682-8","title":"Mitigation and adaptation strategies for global change via the implementation of underground coal gasification","year":2015,"lang":"en","type":"article","venue":"Mitigation and Adaptation Strategies for Global Change","topic":"Mining and Gasification Technologies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Coal; Clean coal technology; Environmental science; Greenhouse gas; Clean coal; Underground coal gasification; Waste management; Electricity generation; Carbon footprint; Coal mining; Fossil fuel; Carbon dioxide; Resource (disambiguation); Biomass (ecology); Substitute natural gas; Syngas; Chemistry; Engineering; Computer science; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001185847,0.0005539744,0.0002138565,0.0006157063,0.0006849206,0.001264542,0.0007528163,0.001342993,0.003365859],"category_scores_gemma":[0.001732871,0.00008992314,0.0004325983,0.0007886217,0.001219821,0.001559119,0.00273592,0.0009904881,0.0002125977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001830414,"about_ca_system_score_gemma":0.005012265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006781454,"about_ca_topic_score_gemma":0.01144638,"domain_scores_codex":[0.9991899,0.0002741475,0.00003418676,0.00008154091,0.0001528687,0.0002674332],"domain_scores_gemma":[0.9994113,0.0001111934,0.0001305813,0.00007416397,0.0002005944,0.00007210505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004424038,0.0008762821,0.02920246,0.001602758,0.0003182846,0.001373713,0.003490884,0.05767083,0.02967331,0.4344265,0.008343279,0.4325792],"study_design_scores_gemma":[0.0001925668,0.001485278,0.08544748,0.001898272,0.0004696974,0.0009063722,0.02041012,0.06151359,0.04929493,0.383039,0.3951571,0.0001855362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5653681,0.009430923,0.1238404,0.05040728,0.001029155,0.0005882405,0.0003201664,0.0005745614,0.2484412],"genre_scores_gemma":[0.9823514,0.001908371,0.009041553,0.0005810081,0.00004986168,0.00007463035,0.00005283381,0.00001434419,0.005925972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006781454,"threshold_uncertainty_score":0.013484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1257862980573089,"score_gpt":0.3208070161611615,"score_spread":0.1950207181038526,"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."}}