{"id":"W4366085521","doi":"10.11159/enfht23.001","title":"Applying Surface Engineering to Thermal Fluid Research and Applications","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Momentum, Heat and Mass Transfer","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Thermal; Thermal engineering; Materials science; Physics; Thermodynamics","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":[],"consensus_categories":[],"category_scores_codex":[0.0007533418,0.0001285543,0.0001717609,0.000189132,0.0003789456,0.0001027979,0.0002976234,0.00002952276,0.0000276181],"category_scores_gemma":[0.00001181926,0.0001015064,0.00002983481,0.0007716089,0.0001150533,0.00008873961,0.0001217298,0.0001732081,0.00001901582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003344188,"about_ca_system_score_gemma":0.00001276336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001520496,"about_ca_topic_score_gemma":0.000002660679,"domain_scores_codex":[0.9987038,0.00001459717,0.0001956718,0.0003393073,0.0004239241,0.0003226818],"domain_scores_gemma":[0.999507,0.0001045549,0.000009470905,0.0001289495,0.0001333693,0.0001166919],"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":[0.00005276419,0.00002635145,0.001000036,0.00008339978,0.000006464609,1.74705e-7,0.0002674664,0.001100583,0.9911265,0.005812368,0.0003740558,0.0001498124],"study_design_scores_gemma":[0.0003265468,0.00006361262,0.000944506,0.00007423064,0.000009226619,0.000001126859,0.0004502965,0.002550528,0.9807264,0.0002482599,0.0144495,0.0001557669],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955011,0.00007407058,0.00003063969,0.002242896,0.0001543322,0.001119327,0.00002361564,0.00008936595,0.000764654],"genre_scores_gemma":[0.9963787,0.00003537561,0.0000847753,0.0000743428,0.00002855673,0.0006736747,9.970779e-7,0.00002017252,0.002703427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01407545,"threshold_uncertainty_score":0.4139311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03457107385471856,"score_gpt":0.2809713633831359,"score_spread":0.2464002895284173,"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."}}