{"id":"W1994034288","doi":"10.1115/1.4002095","title":"Simple Models for Laminar Thermally Developing Slug Flow in Noncircular Ducts and Channels","year":2010,"lang":"en","type":"article","venue":"Journal of Heat Transfer","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Enterprise Ireland","keywords":"Laminar flow; Prandtl number; Dimensionless quantity; Mechanics; Reynolds number; Thermodynamics; Heat transfer; Duct (anatomy); Constant (computer programming); Heat flux; Physics; Materials science; Mathematics; Turbulence","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":[0.0003473393,0.0009591833,0.0008879039,0.0010795,0.0007392963,0.001496913,0.001454465,0.002345993,0.002473878],"category_scores_gemma":[0.001400025,0.0005288142,0.0008232676,0.0008173803,0.001551509,0.001295971,0.0008230684,0.0008008784,0.0006997922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001146258,"about_ca_system_score_gemma":0.0009699113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003121237,"about_ca_topic_score_gemma":0.002679706,"domain_scores_codex":[0.9998055,0.0000457987,0.000009220864,0.00003706459,0.00004529017,0.00005720783],"domain_scores_gemma":[0.9996245,0.0001274229,0.0001027686,0.00002520857,0.00005671686,0.00006343887],"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":[0.00004787149,0.00007683937,0.0007506823,0.0001012422,0.00001029851,0.000323549,0.0002106482,0.856478,0.005637989,0.1319664,0.001040683,0.003355815],"study_design_scores_gemma":[0.00001458946,0.00002683594,0.0001639264,0.00001265673,0.000005071834,0.00009066524,0.00003723411,0.9870356,0.0003908507,0.01098573,0.001219317,0.00001756612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2832291,0.003297162,0.6580656,0.0009445183,0.0002811571,0.0003890646,0.0004632385,0.0007142801,0.0526159],"genre_scores_gemma":[0.8962074,0.002804866,0.04661135,0.0002073114,0.0001650803,0.0005207654,0.0002699128,0.0001725617,0.05304072],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003121237,"threshold_uncertainty_score":0.008316696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01105486787967262,"score_gpt":0.2107682575552944,"score_spread":0.1997133896756217,"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."}}