{"id":"W4415898163","doi":"10.1016/j.csite.2025.107355","title":"Thermoelastic fracture analysis of porous metal foams under cold shock using the dual-phase-lag model","year":2025,"lang":"en","type":"article","venue":"Case Studies in Thermal Engineering","topic":"Thermoelastic and Magnetoelastic Phenomena","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Gansu Province; National Natural Science Foundation of China; Lanzhou University","keywords":"Thermoelastic damping; Thermal shock; Laplace transform; Porosity; Thermal conduction; Thermal; Porous medium; Parametric statistics; Copper","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021921,0.0003779406,0.0007147855,0.0004474086,0.00009525553,0.00001651883,0.0001914108,0.0001086408,0.00002603732],"category_scores_gemma":[0.00009177175,0.0002909401,0.0001849256,0.001190285,0.0001342786,0.0001013164,0.000136598,0.0003531028,0.000001023863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002200602,"about_ca_system_score_gemma":0.00003292566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001812958,"about_ca_topic_score_gemma":0.00001983579,"domain_scores_codex":[0.9985701,0.00002816062,0.0005247602,0.0002551057,0.0001756322,0.0004461688],"domain_scores_gemma":[0.99891,0.0005198776,0.00006250896,0.0003911952,0.00006402593,0.00005245474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000189419,0.00004097733,0.00001122328,0.0001361001,0.003371544,0.0002203254,0.001451801,0.9686229,0.02403046,0.001782062,0.00001525818,0.0002984188],"study_design_scores_gemma":[0.0006397325,0.00002741686,0.00008966702,0.00008680498,0.001862848,0.00005525594,0.001439091,0.9942883,0.001112161,0.00009843105,0.00002620443,0.0002741099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7622011,0.005067686,0.2313496,0.00001418949,0.0004424361,0.0002124834,0.000035915,0.0001419211,0.0005346214],"genre_scores_gemma":[0.9990367,0.00005222743,0.0006442607,0.00005318319,0.00005593893,0.00004057987,0.000003264152,0.00005097324,0.00006284147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2368356,"threshold_uncertainty_score":0.9999543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02286355723835793,"score_gpt":0.2788272500318845,"score_spread":0.2559636927935266,"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."}}