{"id":"W2089178563","doi":"10.1080/10893950500195909","title":"Surface Micro-Profiling for Reduced Energy Dissipation and Exergy Loss in Convective Heat Transfer","year":2005,"lang":"en","type":"article","venue":"Microscale Thermophysical Engineering","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Mechanics; Materials science; Entropy production; Heat transfer; Exergy; Microchannel; Drag; Dissipation; Boundary layer; Reynolds number; Thermodynamics; Mass transfer; Slip (aerodynamics); Convective heat transfer; Convection; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005798259,0.0002257305,0.0002555377,0.00006335991,0.00003899885,0.00002848256,0.00007088458,0.0001115947,0.000005391533],"category_scores_gemma":[0.000005795156,0.0002462865,0.00006489217,0.0001666081,0.00002567913,0.000186279,0.000007105567,0.0001326283,0.000001589406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001014368,"about_ca_system_score_gemma":0.000009159674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001666297,"about_ca_topic_score_gemma":0.00001082421,"domain_scores_codex":[0.99911,0.00001174835,0.000235018,0.0002388992,0.00006700293,0.000337327],"domain_scores_gemma":[0.9996925,0.00007031458,0.000002205574,0.000109229,0.00002221257,0.0001035643],"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":[0.00001822167,0.00001838312,0.00002716482,0.00004772176,0.0000106273,5.694658e-7,0.000260065,0.4060978,0.5920984,0.000312929,0.000001861372,0.001106298],"study_design_scores_gemma":[0.0005060568,0.00001745942,0.0004795713,0.00003255835,0.000008193269,0.000001803986,0.000009996555,0.436087,0.5625584,0.0000141555,0.00009995898,0.0001848825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.727939,0.000224361,0.271313,0.00004485123,0.00008351329,0.0001612927,0.00001926061,0.0001622467,0.0000525167],"genre_scores_gemma":[0.9963347,0.00008166333,0.003240635,0.00002451076,0.0001379965,0.00005028303,0.00003745733,0.00007724538,0.00001551242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2683957,"threshold_uncertainty_score":0.9999989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005521082671787495,"score_gpt":0.1994342774910781,"score_spread":0.1939131948192906,"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."}}