{"id":"W3006726750","doi":"10.1002/er.5217","title":"Thermal performance of finned aluminum heat sink filled with ERG aluminum foam: Experimental and numerical approach","year":2020,"lang":"en","type":"article","venue":"International Journal of Energy Research","topic":"Heat and Mass Transfer in Porous Media","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nusselt number; Heat sink; Thermodynamics; Materials science; Heat transfer; Mechanics; Reynolds number; Heat flux; Pressure drop; Heat transfer coefficient; Metal foam; Heat transfer enhancement; Composite material; Aluminium; Physics; Turbulence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002224959,0.0003525781,0.0003263001,0.0002399126,0.0002547503,0.0002373737,0.0003764069,0.0003466171,0.0009158084],"category_scores_gemma":[0.0005590759,0.0001544296,0.0002833547,0.0002678963,0.0003776541,0.0003606667,0.0001892599,0.0001709927,0.00009078716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003037424,"about_ca_system_score_gemma":0.000186069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009121943,"about_ca_topic_score_gemma":0.0009509728,"domain_scores_codex":[0.9998789,0.00001344621,0.000008064292,0.00002971434,0.0000494256,0.00002035709],"domain_scores_gemma":[0.999786,0.00007418646,0.00004280067,0.00002373717,0.00006259842,0.00001079859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005357507,0.0001134179,0.003359166,0.0002575747,0.00001465598,0.0001706498,0.0002137242,0.06131909,0.9246572,0.0003500061,0.0001693073,0.008839524],"study_design_scores_gemma":[0.00004989584,0.001295949,0.01048528,0.00002885047,0.00003503263,0.000119071,0.0001812312,0.2380857,0.7486106,0.0002156414,0.0008460621,0.00004674446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956976,0.00009887575,0.003401228,0.00001639934,0.000009149489,0.00001070003,0.00008333418,0.00008235082,0.0006003598],"genre_scores_gemma":[0.9968586,0.00005296335,0.002727308,0.00000339444,0.000001718867,0.00001302883,0.00003935418,0.000006208076,0.0002974325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009158084,"threshold_uncertainty_score":0.003063619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03399452236023561,"score_gpt":0.2837626039283804,"score_spread":0.2497680815681448,"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."}}