{"id":"W4388750395","doi":"10.1016/j.ijheatmasstransfer.2023.124903","title":"Heat transfer characteristics of controlled droplet trains impacting solid surfaces","year":2023,"lang":"en","type":"article","venue":"International Journal of Heat and Mass Transfer","topic":"Fluid Dynamics and Heat Transfer","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Materials science; Heat transfer; Nusselt number; Heat flux; Spray nozzle; Mechanics; Spray characteristics; Coolant; Heat transfer coefficient; Composite material; Thermodynamics; Chemical engineering; Turbulence; Nozzle; Reynolds number","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":[0.0003723021,0.0002009541,0.0005860405,0.0003281444,0.00003842615,0.00005804715,0.0001999766,0.0001034331,0.0001060922],"category_scores_gemma":[0.0000140909,0.0001682697,0.0002738195,0.0001176651,0.00005529165,0.0002158271,0.000004419719,0.0002685069,0.000003204044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004171412,"about_ca_system_score_gemma":0.00004263411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001310449,"about_ca_topic_score_gemma":0.0000182854,"domain_scores_codex":[0.9983853,0.00002865252,0.0007982875,0.000107439,0.0004288951,0.0002514025],"domain_scores_gemma":[0.9993991,0.0001532202,0.000004872319,0.0000698193,0.0002443616,0.0001286588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000968322,0.00009112911,0.002825791,0.000174407,0.001305342,0.0001833455,0.002182355,0.01731841,0.9708091,0.001123508,0.0001775335,0.002840766],"study_design_scores_gemma":[0.0366209,0.001325365,0.06576515,0.001263809,0.0008256346,0.0006583385,0.001209385,0.7881337,0.09684382,0.001005468,0.004898859,0.001449504],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691297,0.0003249464,0.02782841,0.0007288319,0.001235599,0.0001374853,0.0001777801,0.00004900575,0.0003882426],"genre_scores_gemma":[0.9961303,0.003445371,0.0000668432,0.00005312548,0.000215048,0.00000370714,0.00001880577,0.0000387007,0.00002814057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8739653,"threshold_uncertainty_score":0.6861838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051477672550267,"score_gpt":0.2447356919636766,"score_spread":0.2342209152381739,"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."}}