{"id":"W2993977778","doi":"","title":"Saving Energy in Refrigerated Warehouses","year":2000,"lang":"en","type":"article","venue":"ASHRAE journal","topic":"Energy Efficiency and Management","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refrigeration; Electricity; Gas compressor; Electric power; Warehouse; Electric energy; Energy (signal processing); Efficient energy use; Electric motor; Power (physics); Automotive engineering; Engineering; Business; Electrical engineering; Mechanical engineering; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003088253,0.000138147,0.0001607951,0.0001866689,0.0001738018,0.00008737881,0.0002347448,0.00006913282,0.004203961],"category_scores_gemma":[0.00002654417,0.0001194238,0.00007017236,0.0003501491,0.00002770974,0.0002205939,0.00002503734,0.0002302091,0.0001228218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001075514,"about_ca_system_score_gemma":0.00004155821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008917369,"about_ca_topic_score_gemma":0.002151484,"domain_scores_codex":[0.9987138,0.0001117943,0.0003620467,0.0001722549,0.0002520719,0.0003880411],"domain_scores_gemma":[0.9995905,0.00003647045,0.00006694983,0.0001747713,0.00003370739,0.00009756423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007498405,0.0002498695,0.0006367708,0.000005749867,0.00005042272,0.0005551919,0.0004181545,0.1733166,0.001341859,0.0372633,0.004797052,0.78129],"study_design_scores_gemma":[0.0009690056,0.0001065327,0.01274513,0.0001003077,0.00001531875,0.0001761535,0.0001605268,0.001022413,0.001307236,0.003361101,0.9797116,0.0003246659],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6494442,0.000709752,0.0004203763,0.0006162777,0.0004449173,0.00002796735,5.678435e-7,0.0001166951,0.3482192],"genre_scores_gemma":[0.9820963,0.0007551513,0.0003404643,0.0008896024,0.0002542599,0.000004649849,0.000002504636,0.00002450842,0.01563255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9749146,"threshold_uncertainty_score":0.9967063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009790660859157353,"score_gpt":0.2244872468669879,"score_spread":0.2146965860078306,"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."}}