{"id":"W608995558","doi":"10.1615/ichmt.2004.intthermscisemin.930","title":"Electronic component cooling enhancement using nanofluids in a radial flow cooling system","year":2004,"lang":"en","type":"article","venue":"","topic":"Heat Transfer Mechanisms","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Nanofluid; Materials science; Heat transfer; Coolant; Heat transfer enhancement; Mechanics; Reynolds number; Heat sink; Water cooling; Laminar flow; Enhanced heat transfer; Work (physics); Thermodynamics; Heat transfer coefficient; Turbulence; 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":[0.000284095,0.0002397998,0.0003081583,0.0001821633,0.00006308522,0.00003799983,0.0001433941,0.0001081567,0.00004176779],"category_scores_gemma":[0.000003079635,0.0002615484,0.00006522558,0.0002703634,0.00001095018,0.0001182185,0.00001542406,0.0002516294,0.00005741282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001983075,"about_ca_system_score_gemma":0.0001121843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002261244,"about_ca_topic_score_gemma":0.0001423151,"domain_scores_codex":[0.9982803,0.00002758525,0.0004398458,0.0002444501,0.0002353484,0.0007724278],"domain_scores_gemma":[0.9996446,0.00001907942,0.000008204947,0.000197969,0.00002104948,0.0001090996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001788571,0.00002257142,0.000003711299,0.0001251863,0.00002521211,0.00002485496,0.0003191367,0.5317463,0.4611933,0.006233387,0.000001377586,0.0002871453],"study_design_scores_gemma":[0.00116927,0.00004626924,0.00001072276,0.0002928836,0.00001464306,0.00003466167,0.0001196104,0.5639179,0.4340002,0.00005119361,0.00007770144,0.000264943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5005789,0.0002674815,0.4979363,0.000006610427,0.0003313983,0.0002401839,0.000001483176,0.0002880409,0.0003495912],"genre_scores_gemma":[0.990261,0.00004840226,0.009446871,0.00003025972,0.0001097539,0.00003066551,0.000006662332,0.00006154524,0.00000490494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.489682,"threshold_uncertainty_score":0.9999837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089064657676743,"score_gpt":0.2092738095947529,"score_spread":0.1983831630179854,"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."}}