{"id":"W4384648185","doi":"10.17816/rf321629","title":"ENERGY EFFICIENCY ANALYSIS METHODS OF REFRIGERATION PLANTS","year":2023,"lang":"en","type":"article","venue":"Refrigeration Technology","topic":"Engineering Education and Technology","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Energy consumption; Legislation; Business; Efficient energy use; Electricity; Consumption (sociology); Russian federation; Environmental economics; Air conditioning; Energy policy; Natural resource economics; Environmental protection; Environmental science; Economic policy; Engineering; Economics; Political science; Renewable energy; Law; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003890899,0.0001236214,0.0002676022,0.003368943,0.00009511998,0.00002927192,0.000639408,0.0002871254,0.00001641233],"category_scores_gemma":[0.0001142779,0.0001215078,0.00007674086,0.006956468,0.00006517227,0.0001616079,0.0001337445,0.0001289185,0.00003736646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004353717,"about_ca_system_score_gemma":0.0001168622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000156386,"about_ca_topic_score_gemma":0.00001271847,"domain_scores_codex":[0.9987915,0.00006738355,0.0003825259,0.0003718719,0.0001532312,0.0002335484],"domain_scores_gemma":[0.9988043,0.00007539756,0.0001562558,0.0007889422,0.0001395299,0.0000356159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001028602,0.00005748499,0.0002077054,0.000006788349,0.00007203967,0.00000193328,0.00008553836,0.0007641919,0.03399088,0.7406035,0.0004897438,0.2237192],"study_design_scores_gemma":[0.0002544886,0.000167641,0.001475752,0.0000156992,0.00005511671,0.00002359623,0.0001222689,0.3715699,0.5281333,0.05633493,0.04147198,0.0003753301],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01907445,0.0001505162,0.975192,0.001734833,0.0004157097,0.00006846988,0.000001945826,0.001787887,0.001574201],"genre_scores_gemma":[0.8741096,0.0001033119,0.1247021,0.00006815656,0.00001794729,0.00005865986,0.00003145322,0.000008675253,0.0009001309],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8550351,"threshold_uncertainty_score":0.4954943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01278601968017466,"score_gpt":0.3140275517697677,"score_spread":0.301241532089593,"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."}}