{"id":"W2130922975","doi":"10.1109/stherm.2006.1625202","title":"Thermal resistance-based bounds for the effective conductivity of composite thermal interface materials","year":2006,"lang":"en","type":"article","venue":"","topic":"Composite Material Mechanics","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Thermal conductivity; Interfacial thermal resistance; Materials science; Thermal grease; Thermal resistance; SPHERES; Microelectronics; Mechanics; Thermal; Ellipsoid; Anisotropy; Composite material; Electrical conductor; Composite number; Thermal contact conductance; Upper and lower bounds; Flow (mathematics); Heat transfer; Thermodynamics; Physics; Mathematical analysis; Mathematics; Nanotechnology; Optics","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":[0.004632717,0.001472983,0.0008227516,0.002997877,0.0006532621,0.002742092,0.001440446,0.001144837,0.002080124],"category_scores_gemma":[0.01857741,0.0004320893,0.0008744631,0.0006372022,0.002458816,0.004208332,0.001420609,0.002191645,0.0008552163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001451251,"about_ca_system_score_gemma":0.00052926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003625956,"about_ca_topic_score_gemma":0.0003459007,"domain_scores_codex":[0.9981825,0.0005517691,0.0001230601,0.0004207914,0.0005510576,0.000170861],"domain_scores_gemma":[0.9883012,0.009111362,0.0007462727,0.0008687094,0.0008078075,0.0001646544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001433905,0.0001494028,0.0006897355,0.0004804206,0.00005083556,0.0003008354,0.0004021908,0.2939696,0.05990271,0.6117057,0.001551142,0.03065403],"study_design_scores_gemma":[0.000008886865,0.00008540341,0.0003799932,0.00008945276,0.00002038206,0.0001726734,0.00003864145,0.8245643,0.03433726,0.1368052,0.003445314,0.00005255984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0394959,0.002404929,0.9382343,0.000338291,0.0001286305,0.00004994899,0.000109402,0.0003799767,0.01885868],"genre_scores_gemma":[0.7578519,0.002985333,0.2328988,0.0002391556,0.0003582087,0.0003946768,0.0002053458,0.0003757224,0.004690859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004632717,"threshold_uncertainty_score":0.02450043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006661744477748607,"score_gpt":0.2111694022979814,"score_spread":0.2045076578202328,"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."}}