{"id":"W2050391482","doi":"10.1115/1.4026116","title":"Hybrid Power Generation Plant for CO2 Capture","year":2013,"lang":"en","type":"article","venue":"Journal of Engineering for Gas Turbines and Power","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Retrofitting; Cogeneration; Power station; Combined cycle; Electricity generation; Steam turbine; Process engineering; Steam-electric power station; Hybrid power; Decoupling (probability); Automotive engineering; Boiler (water heating); Engineering; Power (physics); Turbine; Waste management; Control engineering; Mechanical engineering; Electrical engineering","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":[0.00009393301,0.0002520733,0.0001761499,0.0002172517,0.0002689671,0.0003829372,0.0004076198,0.0002953652,0.00301456],"category_scores_gemma":[0.0001196565,0.00007988824,0.0001828941,0.0003103695,0.0002007875,0.0004636973,0.0003231468,0.0003487595,0.0004092968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002685819,"about_ca_system_score_gemma":0.0001997935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009414815,"about_ca_topic_score_gemma":0.002033822,"domain_scores_codex":[0.9999204,0.0000134934,0.000001870655,0.00001399059,0.00003930773,0.00001090829],"domain_scores_gemma":[0.9999441,0.00002251637,0.000004505035,0.000009978248,0.00001194117,0.00000699734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009291418,0.0003282127,0.01205785,0.0006960085,0.0001768181,0.003238912,0.0001838471,0.504605,0.2101907,0.02463718,0.004251113,0.2387053],"study_design_scores_gemma":[0.0002037661,0.001299905,0.009277893,0.0000423459,0.00009653893,0.001552552,0.0002174767,0.7963966,0.1476847,0.009080699,0.03409361,0.00005398934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6489007,0.0006914966,0.2989908,0.0001984659,0.00008479085,0.0002212869,0.0003204499,0.001014049,0.0495778],"genre_scores_gemma":[0.9902285,0.00008732711,0.007238194,0.00001252604,0.000004741076,0.00001882735,0.00007679554,0.00001283013,0.002320229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00301456,"threshold_uncertainty_score":0.01008475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006969574744134781,"score_gpt":0.1838040486931786,"score_spread":0.1768344739490438,"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."}}