{"id":"W1980396800","doi":"10.1115/1.4027773","title":"Laminar Heat Transfer Enhancement Utilizing Nanofluids in a Chaotic Flow","year":2014,"lang":"en","type":"article","venue":"Journal of Heat Transfer","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Nanofluid; Laminar flow; Pressure drop; Heat transfer; Materials science; Heat transfer enhancement; Chaotic; Mechanics; Flow (mathematics); Work (physics); Advection; Thermodynamics; Thermal; Computer science; Heat transfer coefficient; 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":[0.0002622541,0.0003929166,0.0003295904,0.0002899714,0.0002965378,0.000545206,0.0001689681,0.0002945516,0.0002503108],"category_scores_gemma":[0.0005518674,0.0001768252,0.0003200953,0.0001426368,0.0005964991,0.0005186719,0.0004199414,0.0002585173,0.00006293462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004265971,"about_ca_system_score_gemma":0.0003099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005854869,"about_ca_topic_score_gemma":0.0003545175,"domain_scores_codex":[0.9999003,0.00002139739,0.000008588575,0.00002249221,0.00002095205,0.00002624788],"domain_scores_gemma":[0.999788,0.00008603468,0.00005558335,0.00001533863,0.00003545561,0.0000197063],"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":[0.0003519002,0.00006812463,0.001981424,0.0001969038,0.00001734699,0.0001942734,0.0001602983,0.04362107,0.9456529,0.001798427,0.00007033408,0.005886996],"study_design_scores_gemma":[0.00008219585,0.0004641093,0.001825071,0.00001186302,0.00003474124,0.00006988762,0.00005482943,0.1819367,0.8140795,0.0004578991,0.0009548931,0.00002829538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787974,0.0001728224,0.01982916,0.00004382431,0.00003200701,0.00003037309,0.0000193553,0.0000762251,0.0009988593],"genre_scores_gemma":[0.9958735,0.00005538648,0.003863507,0.000007082981,0.000005525213,0.00001215741,0.00000953643,0.00000478718,0.0001684383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005854869,"threshold_uncertainty_score":0.00309515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152458043834265,"score_gpt":0.2129533566477108,"score_spread":0.2014287762093682,"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."}}