{"id":"W2313372777","doi":"10.4271/2016-01-0229","title":"Transient Response of Minichannel Heat Exchanger Using Al&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;3&lt;/sub&gt;-EG/W Nanofluid","year":2016,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; University of Windsor","keywords":"Nanofluid; Transient (computer programming); Heat exchanger; Materials science; Transient analysis; Thermodynamics; Mechanics; Transient response; Nuclear engineering; Heat transfer; Computer science; Physics; Electrical engineering; Engineering; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001744849,0.0001919919,0.0002615063,0.0001122025,0.0002548552,0.0002621686,0.0002566022,0.0003262979,0.001255163],"category_scores_gemma":[0.0002297563,0.0001176308,0.0002822434,0.0001067622,0.0002856475,0.000362306,0.0001775006,0.0002194925,0.0001031347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004293764,"about_ca_system_score_gemma":0.0002929357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001636633,"about_ca_topic_score_gemma":0.0009722317,"domain_scores_codex":[0.9999104,0.000008055245,0.000004347158,0.00002169882,0.00002702734,0.000028572],"domain_scores_gemma":[0.9998913,0.00004378297,0.00002314921,0.000008872658,0.00002069959,0.0000121926],"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":[0.0008687733,0.0001269073,0.004576197,0.0001010166,0.00002020833,0.000175698,0.0001773258,0.05234636,0.9358347,0.0008112667,0.0003113649,0.004650272],"study_design_scores_gemma":[0.00002741505,0.000565857,0.007451622,0.000006551461,0.00001804209,0.00003732947,0.000114142,0.4068504,0.5843845,0.0001306389,0.0003894624,0.00002407631],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957976,0.00004504886,0.003486093,0.00002861796,0.00001147717,0.000006071808,0.00003806806,0.00008637269,0.0005005692],"genre_scores_gemma":[0.9988556,0.00002101274,0.000665032,0.000005956216,0.00000138683,0.00000717954,0.00002361519,0.000004057655,0.0004161769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001636633,"threshold_uncertainty_score":0.004198909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153677407259793,"score_gpt":0.2300534940169463,"score_spread":0.214685753290967,"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."}}