{"id":"W4296085576","doi":"","title":"Heat transfer enhancement in turbulent tube flow using Al2O3 nanoparticules suspension","year":2006,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université de Moncton","funders":"","keywords":"Tube (container); Suspension (topology); Turbulence; Materials science; Heat transfer enhancement; Mechanics; Heat transfer; Flow (mathematics); Composite material; Physics; Reynolds number; Mathematics","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":[0.0001391934,0.0001655844,0.0002049561,0.0001379237,0.0002263852,0.0004064491,0.0001115947,0.0002271694,0.0008668615],"category_scores_gemma":[0.0001600421,0.00008950182,0.0002109722,0.0001044007,0.0002807886,0.0002262891,0.0001133896,0.0002620753,0.0001450455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002729001,"about_ca_system_score_gemma":0.0001650925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007354502,"about_ca_topic_score_gemma":0.0005730502,"domain_scores_codex":[0.999935,0.00001239175,0.00000324464,0.0000162903,0.00001583207,0.00001716025],"domain_scores_gemma":[0.9999002,0.00004489713,0.00001638118,0.000004455566,0.00002183665,0.00001229675],"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":[0.0002216287,0.0000154034,0.0001255941,0.00002372894,0.000002287739,0.00002553783,0.00002832252,0.0003165271,0.9983096,0.0001181763,0.00003669368,0.0007765549],"study_design_scores_gemma":[0.000009983391,0.0000826375,0.0005519587,9.210697e-7,0.000005358033,0.00001363423,0.00001022952,0.00290424,0.9962513,0.00002229193,0.0001449415,0.000002636707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972576,0.0002073828,0.001582185,0.00004142612,0.00001895304,0.000005126404,0.00001948576,0.00004148296,0.0008263172],"genre_scores_gemma":[0.9987223,0.00005458457,0.0004434115,0.00001063061,0.000006677144,0.000002974377,0.00001339316,0.000007149994,0.0007389145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008668615,"threshold_uncertainty_score":0.002899945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136341480440343,"score_gpt":0.2106361035602342,"score_spread":0.1970019555161999,"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."}}