{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002176909,0.0002702145,0.0002871249,0.0004035252,0.000198776,0.0002649589,0.0004874927,0.0005604185,0.0005798457],"category_scores_gemma":[0.0004219657,0.0001503121,0.0004242371,0.0001858398,0.0007034513,0.0003322059,0.0003099257,0.0003376887,0.00005645393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002772189,"about_ca_system_score_gemma":0.0003368255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00392882,"about_ca_topic_score_gemma":0.001964944,"domain_scores_codex":[0.9999164,0.00001227918,0.000003007576,0.00001292561,0.00003489889,0.00002041385],"domain_scores_gemma":[0.9998516,0.00006504426,0.00002740408,0.00001596141,0.00002966438,0.00001024029],"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":[0.0002136665,0.0001002214,0.003847402,0.0001134945,0.00002925946,0.0006158276,0.000218413,0.810563,0.1638477,0.01022149,0.0001942719,0.01003521],"study_design_scores_gemma":[0.00000269089,0.00001757744,0.0005719466,0.000001569073,0.000001726452,0.00002868301,0.00001587253,0.996361,0.00261612,0.0003374402,0.00004107069,0.000004353394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.881876,0.0002554724,0.11527,0.0001071485,0.00001746961,0.00002623775,0.00005684947,0.0001003502,0.002290658],"genre_scores_gemma":[0.9978445,0.00004969592,0.001673421,0.000004645585,0.000002195338,0.00000599244,0.00000959562,0.000003622684,0.0004063935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00392882,"threshold_uncertainty_score":0.007811904,"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."}}