{"id":"W4387088050","doi":"10.1115/ht2023-106968","title":"Investigation of the Entropy Generation and Exergy Destruction Rates for a Novel Micro-Jet Heat Sink Working With a Nanofluid for Efficient Cooling of Motor Inverters in Electric Vehicles","year":2023,"lang":"en","type":"article","venue":"","topic":"Heat Transfer Mechanisms","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Exergy; Nanofluid; Second law of thermodynamics; Heat sink; Mechanics; Materials science; Thermodynamics; Exergy efficiency; Reynolds number; Entropy (arrow of time); Heat flux; Entropy production; Thermal; Heat transfer; 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":[0.0002319481,0.0001967857,0.0002640064,0.000244811,0.0001871646,0.000221275,0.0002104305,0.000224669,0.0004748758],"category_scores_gemma":[0.0003488142,0.0001154976,0.0002436395,0.0001322827,0.0002298698,0.0003242713,0.0001275296,0.0001841126,0.00007324276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002556627,"about_ca_system_score_gemma":0.0001410366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003537975,"about_ca_topic_score_gemma":0.0004653923,"domain_scores_codex":[0.9999118,0.000009422706,0.000006400663,0.00001729817,0.0000412824,0.00001378312],"domain_scores_gemma":[0.9998149,0.00007253019,0.00003817548,0.00001062832,0.00005422871,0.000009569991],"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":[0.0001269004,0.00004088517,0.002020168,0.00007879207,0.000006694745,0.00005611357,0.00003891332,0.004897046,0.9895313,0.0001399852,0.0000382646,0.003024842],"study_design_scores_gemma":[0.000008445482,0.0002944646,0.003979142,0.00000365585,0.000009575207,0.00003007737,0.0000345127,0.0450189,0.9503418,0.00004238561,0.0002298214,0.000007170425],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971222,0.0001200046,0.002459487,0.00001779593,0.000006876724,0.000006802359,0.00002267429,0.00001674352,0.0002273493],"genre_scores_gemma":[0.9985787,0.0000468916,0.001144714,0.000002447468,0.000001135077,0.000007346765,0.00001882075,0.000003476812,0.0001965874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004748758,"threshold_uncertainty_score":0.001854956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02609091575810147,"score_gpt":0.2092785098548682,"score_spread":0.1831875940967668,"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."}}