{"id":"W2978767682","doi":"10.1016/j.jclepro.2019.118635","title":"An analysis of integration of a power plant with a lignite superheated steam drying unit","year":2019,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ontario Institute of Technology","funders":"Akademia Górniczo-Hutnicza im. Stanislawa Staszica","keywords":"Integrated gasification combined cycle; Coal; Process engineering; Waste management; Electricity generation; Syngas; Engineering; Environmental science; Combined cycle; Superheated steam; Boiler (water heating); Turbine; Mechanical engineering; Power (physics); Chemistry; Hydrogen","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":[0.0002342978,0.00008711485,0.0002822003,0.0004851284,0.000009258029,0.000008123951,0.00009658914,0.00005074045,0.0000887858],"category_scores_gemma":[0.00003223594,0.00006396175,0.00006699104,0.000650942,0.00002356248,0.0003750948,0.00000511892,0.0001273103,0.000001364324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003374073,"about_ca_system_score_gemma":0.00002165123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007335412,"about_ca_topic_score_gemma":0.000005735036,"domain_scores_codex":[0.9991825,0.00002735624,0.0003794122,0.00009027028,0.0002437581,0.00007668497],"domain_scores_gemma":[0.9991478,0.00002000848,0.0002376124,0.0001587872,0.0003955495,0.00004027695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002489837,0.00005735379,0.004496471,0.00006898703,0.0004333574,0.000001192481,0.0007548287,0.01587643,0.9766309,0.000008353264,0.00002346004,0.001399698],"study_design_scores_gemma":[0.0002540677,0.0003175449,0.003642915,0.0001226583,0.000354379,0.00002464069,0.001454744,0.001644006,0.9920184,0.000009316149,0.00007885402,0.0000784561],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991311,0.00007342907,0.0004267484,0.00003126705,0.0001385726,0.00006566456,0.000004606622,0.00002022313,0.0001083775],"genre_scores_gemma":[0.9995368,0.00002578658,0.0003521378,0.000003639706,0.00003097882,4.07668e-7,0.00001142277,0.0000127104,0.00002610406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01538754,"threshold_uncertainty_score":0.2608285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00730674998294932,"score_gpt":0.2091599592933757,"score_spread":0.2018532093104264,"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."}}