{"id":"W1527550940","doi":"10.1002/9781118985960.meh421","title":"Clean Power Generation from Coal","year":2015,"lang":"en","type":"other","venue":"Mechanical Engineers' Handbook","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Clean coal; Coal; Clean coal technology; Electricity generation; USable; Fossil fuel; Waste management; Environmental science; Electricity; Environmental economics; Process (computing); Engineering; Environmental protection; Environmental engineering; Power (physics); 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001008701,0.0003829951,0.0003360444,0.0000102066,0.00003686507,0.00002250901,0.0003039034,0.000491162,0.04323595],"category_scores_gemma":[0.00001394273,0.0003589825,0.00009519048,0.0000703236,0.00009228595,0.00005632959,0.000242932,0.0002897009,0.003619733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003303717,"about_ca_system_score_gemma":0.00001145907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004769955,"about_ca_topic_score_gemma":0.0001602005,"domain_scores_codex":[0.9983621,0.00003480881,0.0002224907,0.0005386718,0.0005006896,0.0003412244],"domain_scores_gemma":[0.9991686,0.00001318391,0.00009286627,0.0004346756,0.00000185407,0.0002888333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008816637,0.00006146551,0.00001756471,0.000001642122,0.00004409868,0.00001848004,0.00005221135,0.007629459,0.0007720125,0.0001538316,0.9899977,0.001242701],"study_design_scores_gemma":[0.0004656688,0.00009119459,0.00001740954,0.00003586711,0.00005356668,0.000002952006,0.00003963855,0.02444774,0.0001751694,0.000189664,0.9739891,0.0004920166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0006064955,0.00136608,0.4972855,0.0001084656,0.002089663,0.0007432555,0.0002059544,0.0007173514,0.4968773],"genre_scores_gemma":[0.002220487,0.0001978055,0.04255488,0.0005556765,0.0006240645,0.00003242422,0.0004570003,0.0006287597,0.9527289],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4558516,"threshold_uncertainty_score":0.9998862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007089717923754445,"score_gpt":0.1842408987075095,"score_spread":0.177151180783755,"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."}}