{"id":"W4376056623","doi":"10.2139/ssrn.4442547","title":"Transient Thermal Analysis on Pre-Cooling Process of Lng Cryogenic Corrugated Hose","year":2023,"lang":"zh","type":"preprint","venue":"SSRN Electronic Journal","topic":"Engineering Applied Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; University of Alberta","funders":"","keywords":"Transient (computer programming); Process (computing); Thermal; Transient analysis; Nuclear engineering; Cryogenic temperature; Materials science; Environmental science; Engineering; Computer science; Transient response; Thermodynamics; Physics; Electrical engineering; Composite material","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":[0.00008324299,0.0001754757,0.0002664448,0.0001569894,0.0002746945,0.0002186797,0.0002743628,0.0002172994,0.004000481],"category_scores_gemma":[0.0001972144,0.0001048891,0.0002300926,0.0001813721,0.000355953,0.0002489062,0.0001008347,0.0002248554,0.0002433825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004156827,"about_ca_system_score_gemma":0.0001928717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003703695,"about_ca_topic_score_gemma":0.002664256,"domain_scores_codex":[0.9999425,0.000004665148,9.768009e-7,0.00001601665,0.00001887914,0.00001695348],"domain_scores_gemma":[0.9999192,0.00003552681,0.000007535712,0.000008596325,0.00002445763,0.000004771443],"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":[0.001657584,0.0001017336,0.007222261,0.000304116,0.0000416147,0.0007765651,0.0005630716,0.1230077,0.8468781,0.002381635,0.001670731,0.01539495],"study_design_scores_gemma":[0.00003508418,0.0007135867,0.05136941,0.000024103,0.00004535322,0.0001148038,0.0004426474,0.4563665,0.4876804,0.0005170985,0.002652111,0.00003881739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910897,0.0001377479,0.005327095,0.00005377741,0.00001799407,0.00001172421,0.0001721647,0.0001400832,0.003049711],"genre_scores_gemma":[0.9987562,0.0000200065,0.000211167,0.000003668586,0.000001352827,0.00000396079,0.00004704616,0.00001121394,0.0009454977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004000481,"threshold_uncertainty_score":0.01338297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154377595203307,"score_gpt":0.2712760057541176,"score_spread":0.2597322298020845,"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."}}