{"id":"W3205552843","doi":"10.2172/1825873","title":"Energy Efficiency and Performance Evaluation of Self-Contained, Medium Temperature, Reach-In Refrigerated Display Cases","year":2021,"lang":"en","type":"report","venue":"","topic":"Green IT and Sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Renewable Energy Laboratory; U.S. Department of Energy","keywords":"Refrigerant; Environmentally friendly; Montreal Protocol; Efficient energy use; Incentive; Condenser (optics); Environmental economics; Environmental science; Waste management; Process engineering; Business; Operations management; Engineering; Heat exchanger; Chemistry; Economics; Mechanical engineering; Electrical engineering; Ozone layer","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001760811,0.0003115677,0.0005622859,0.0002275401,0.00004190231,0.00003098152,0.0001010667,0.0004067716,0.00008535678],"category_scores_gemma":[0.0003196991,0.0002681868,0.00006584428,0.0004231903,0.00003831667,0.0001412132,0.00004354367,0.0003130666,3.126963e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006860017,"about_ca_system_score_gemma":0.001278756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001092596,"about_ca_topic_score_gemma":0.001766004,"domain_scores_codex":[0.9977008,0.0001147505,0.0006091715,0.0003683012,0.0009212056,0.0002858402],"domain_scores_gemma":[0.9980453,0.00009796791,0.00008566021,0.0003893625,0.001312504,0.00006925457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006827145,0.003570222,0.4656802,0.06347936,0.00349696,0.002646345,0.0106749,0.1044609,0.01919986,0.002135182,0.03779412,0.2861792],"study_design_scores_gemma":[0.004413492,0.0008423345,0.2419688,0.0022378,0.00135891,0.0009097473,0.002605072,0.6814123,0.03793273,0.0001680534,0.02257183,0.003578905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722689,0.006030182,0.00002444877,0.00001126186,0.0005282016,0.0002917988,0.00001813741,0.000119272,0.02070785],"genre_scores_gemma":[0.995901,0.002425629,0.00004459326,0.000003737489,0.00009877039,0.00006357174,0.0002520911,0.0000360939,0.001174458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5769514,"threshold_uncertainty_score":0.9999771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633399302940071,"score_gpt":0.2591810893008737,"score_spread":0.2428470962714731,"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."}}