{"id":"W2743644328","doi":"10.1016/j.tsep.2017.08.001","title":"Thermodynamic analysis on the process of regasification of LNG and its application in the cold warehouse","year":2017,"lang":"en","type":"article","venue":"Thermal Science and Engineering Progress","topic":"Spacecraft and Cryogenic Technologies","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Heilongjiang Province","keywords":"Warehouse; Process (computing); Process engineering; Environmental science; Waste management; Biochemical engineering; Chemistry; Engineering; Computer science; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003109029,0.0002512725,0.0004265707,0.0004985656,0.000457984,0.0004983228,0.0004856835,0.0002524851,0.002506494],"category_scores_gemma":[0.0004338986,0.0001874589,0.0005250403,0.000457336,0.000493906,0.0008641009,0.0003031251,0.000391119,0.0003208267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004222148,"about_ca_system_score_gemma":0.0005152856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002376997,"about_ca_topic_score_gemma":0.001480044,"domain_scores_codex":[0.999889,0.00001444524,0.000003742658,0.00003298195,0.00003486074,0.00002507087],"domain_scores_gemma":[0.9999096,0.00003655722,0.00001132717,0.000009942625,0.00002495722,0.000007606325],"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":[0.0009322058,0.0002455556,0.01476991,0.00103946,0.0001240565,0.0009688175,0.0005040661,0.20896,0.5632004,0.1653969,0.001500817,0.0423578],"study_design_scores_gemma":[0.00002711853,0.0002952763,0.0148298,0.00002508841,0.00007630411,0.0003204188,0.0002678483,0.6808931,0.2771291,0.01994803,0.006098996,0.00008896743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9148613,0.003790994,0.06183187,0.0002920467,0.00008558353,0.00004897225,0.0003003492,0.0001199939,0.01866888],"genre_scores_gemma":[0.9950756,0.0007345253,0.001811661,0.00001789386,0.00001352769,0.0000148524,0.00008604855,0.00001805109,0.002227862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002506494,"threshold_uncertainty_score":0.008385062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078641713086167,"score_gpt":0.2399050888228394,"score_spread":0.2291186716919777,"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."}}