{"id":"W4410976462","doi":"10.1016/j.applthermaleng.2025.127032","title":"Optimization and performance analysis of PCM heat sink with flat heat pipes under extreme thermal loads","year":2025,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Phase Change Materials Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nexen (Canada)","funders":"Defense Acquisition Program Administration; Korea Research Institute for Defense Technology Planning and Advancement","keywords":"Heat sink; Thermal; Extreme heat; Materials science; Heat load; Environmental science; Mechanics; Mechanical engineering; Engineering; Thermodynamics; Geology; Climate change; Physics","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":[0.0002079105,0.0004120336,0.0003802795,0.0002267288,0.0003108016,0.0003850567,0.0004115343,0.0003265295,0.001369357],"category_scores_gemma":[0.0004300608,0.0002065912,0.0002622303,0.0002776643,0.0002368237,0.0004154522,0.0002337207,0.0001723689,0.0001917022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003898873,"about_ca_system_score_gemma":0.0003526488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001447204,"about_ca_topic_score_gemma":0.001892233,"domain_scores_codex":[0.9999039,0.00001704514,0.000002335123,0.00001638812,0.00003043122,0.00002983902],"domain_scores_gemma":[0.9998525,0.00005823122,0.00002530126,0.00001215107,0.0000429111,0.000008900468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008392594,0.0001179941,0.002090651,0.0003291154,0.0000249218,0.000200461,0.00006293401,0.8340902,0.1447648,0.001207628,0.0005957356,0.01567625],"study_design_scores_gemma":[0.0000289398,0.0006193149,0.002297044,0.000005766055,0.00002532459,0.00003642171,0.00005377151,0.9320989,0.06407953,0.0002437114,0.0005001558,0.00001102983],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697616,0.0002427875,0.02328033,0.00008776534,0.00002693269,0.00003141852,0.0001114064,0.0001719708,0.00628572],"genre_scores_gemma":[0.9968136,0.00004987873,0.002182832,0.00000397753,0.00000293374,0.00001134124,0.00002717345,0.00001664515,0.0008915621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001447204,"threshold_uncertainty_score":0.004580975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279984674111987,"score_gpt":0.2058183611934224,"score_spread":0.1930185144523026,"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."}}