{"id":"W4229516857","doi":"10.5383/ijtee.13.01.008","title":"Feasibility study on HYSOL CSP","year":2016,"lang":"en","type":"article","venue":"International Journal of Thermal and Environmental Engineering","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Dispatchable generation; Electricity generation; Process engineering; Cost of electricity by source; Combined cycle; Solar power; Concentrated solar power; Parabolic trough; Environmental science; Natural gas; Power station; Electricity; Environmental economics; Engineering; Solar energy; Mechanical engineering; Waste management; Distributed generation; Turbine; Power (physics); Electrical engineering; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001001488,0.0001054137,0.0001014594,0.00008966768,0.00001065924,0.00001660632,0.000132505,0.00003085575,0.0000490201],"category_scores_gemma":[0.00001183979,0.00007048974,0.00004120784,0.00001717654,0.00001219855,0.0001798632,0.00001985597,0.00008251039,0.000008458997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001820603,"about_ca_system_score_gemma":0.000002034502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001457321,"about_ca_topic_score_gemma":3.00691e-7,"domain_scores_codex":[0.9993876,0.00001064375,0.0002302858,0.00006727077,0.0002188834,0.00008529674],"domain_scores_gemma":[0.9998058,0.00002836322,0.00004341409,0.00006210351,0.00001082336,0.00004946163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00006395829,0.0001354265,0.01016695,0.000004079844,0.0002507321,0.00005272922,0.0002542189,0.6240817,0.3576567,0.00005036311,0.00002921906,0.007253902],"study_design_scores_gemma":[0.01070543,0.001796812,0.6177583,0.0009115634,0.0001252084,0.0008213105,0.001602926,0.1920518,0.1689329,0.00008070766,0.003744194,0.001468831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934534,0.00005745256,0.005369955,0.0000407477,0.000762708,0.00005098256,0.000008928094,0.00002793824,0.0002278931],"genre_scores_gemma":[0.9995705,0.0000359242,0.0001429076,0.000009564805,0.0001725276,0.000002207044,0.000001014483,0.00001931273,0.00004605837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6075914,"threshold_uncertainty_score":0.2874488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006285776260024784,"score_gpt":0.1869059538119611,"score_spread":0.1806201775519363,"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."}}