{"id":"W3160186032","doi":"10.3390/fluids6050188","title":"Heat Enhancement Effectiveness Using Multiple Twisted Tape in Rectangular Channels","year":2021,"lang":"en","type":"article","venue":"Fluids","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pressure drop; Reynolds number; Nusselt number; Laminar flow; Heat exchanger; Mechanics; Materials science; Mechanical engineering; Heat transfer enhancement; Flow (mathematics); Turbulence; Physics; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001121407,0.0001004693,0.0001442801,0.00005668944,0.00002541925,0.00001908793,0.00003742868,0.00006477258,0.00009668263],"category_scores_gemma":[0.00002037753,0.0001150935,0.00003241226,0.000306725,0.000006803573,0.00007720065,0.000008987297,0.00007595773,0.00001133387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001373401,"about_ca_system_score_gemma":0.00001957475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003205108,"about_ca_topic_score_gemma":0.00002045188,"domain_scores_codex":[0.9993852,0.0000605658,0.0001384118,0.0001424773,0.00008522614,0.0001880987],"domain_scores_gemma":[0.9997662,0.00004094208,9.130499e-7,0.0001207559,0.00003240541,0.00003882719],"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":[0.000009058604,0.00002913037,0.0008725603,0.0001260973,0.00001582598,0.0000300826,0.0003163035,0.2872449,0.7101499,0.00001190087,0.00001367705,0.00118054],"study_design_scores_gemma":[0.0004202753,0.00001189599,0.0008403888,0.0000982946,0.000005610062,0.000003408525,0.00001718445,0.4859519,0.5122523,0.000007177923,0.0002894542,0.0001020342],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6610928,0.0006098311,0.3372079,0.000006697926,0.0004792027,0.0001236333,0.000002859144,0.00007468076,0.0004023048],"genre_scores_gemma":[0.9981472,0.00006903113,0.001609264,0.00001868658,0.00005669054,0.00002285292,0.00003452735,0.00002528687,0.0000164668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3370543,"threshold_uncertainty_score":0.4693375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01557490316034973,"score_gpt":0.2351698089736762,"score_spread":0.2195949058133265,"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."}}