{"id":"W4237562035","doi":"10.5383/ijtee.07.02.007","title":"Analysis of a modular high efficiency Polygeneration System in a Science and Technological Park","year":2014,"lang":"en","type":"article","venue":"International Journal of Thermal and Environmental Engineering","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Chiller; Cogeneration; Modular design; Renewable energy; Process engineering; Electricity; Absorption refrigerator; Water cooling; Efficient energy use; Fossil fuel; Engineering; Environmental science; Electricity generation; Waste management; Mechanical engineering; Refrigeration; Computer science; Power (physics); Electrical engineering","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":[0.0004582977,0.0000741245,0.0001797319,0.0004951327,0.00001310262,0.00001014108,0.0001653049,0.00003613175,0.000003897862],"category_scores_gemma":[0.00008391563,0.00006036966,0.00004375503,0.0001954136,0.00007934718,0.0001524033,0.00008414931,0.000102319,1.862721e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001708769,"about_ca_system_score_gemma":0.000004210458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002088408,"about_ca_topic_score_gemma":4.508508e-7,"domain_scores_codex":[0.9991686,0.000005634333,0.0002798525,0.00009462114,0.0003551987,0.00009606004],"domain_scores_gemma":[0.9997531,0.00003148828,0.00009933672,0.00005568683,0.00001534935,0.00004506654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009803476,0.00001718895,0.002228209,0.000008265241,0.0000813783,0.000005439301,0.00005876051,0.1929239,0.7986528,0.0005426772,1.115158e-8,0.00547159],"study_design_scores_gemma":[0.0002945223,0.00002960684,0.02640172,0.00005435904,0.00006142921,0.00006564419,0.00008103264,0.820662,0.1522572,0.000003287728,0.00001510867,0.00007402444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915465,0.0001389846,0.008176718,0.00001813846,0.00006892118,0.00002116182,0.000003724697,0.000007798219,0.00001806543],"genre_scores_gemma":[0.9994651,0.00001633442,0.0004733041,0.000003119369,0.00003187557,0.000001039835,0.000001910211,0.000005187726,0.000002142823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6463956,"threshold_uncertainty_score":0.2461803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003055415010687901,"score_gpt":0.1777034234038851,"score_spread":0.1746480083931972,"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."}}