{"id":"W1982702854","doi":"10.1115/1.4007670","title":"Modeling and Simulations of Laminar Mixed Convection in a Vertical Pipe Conveying Slurries of a Microencapsulated Phase-Change Material in Distilled Water","year":2012,"lang":"en","type":"article","venue":"Journal of Heat Transfer","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Natural Resources Canada","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Slurry; Distilled water; Laminar flow; Mechanics; Materials science; Finite volume method; Heat flux; Convection; Combined forced and natural convection; Thermodynamics; Heat transfer; Natural convection; Physics; Composite material","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":[0.0002079673,0.000333758,0.0004071725,0.0002318743,0.0003801147,0.0004807537,0.0004642199,0.0008118245,0.0009206719],"category_scores_gemma":[0.0004894263,0.0002267459,0.0004224434,0.0002262175,0.0004805704,0.0003577099,0.0002575439,0.0003982708,0.00009639814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007117094,"about_ca_system_score_gemma":0.0008635022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01112172,"about_ca_topic_score_gemma":0.005287924,"domain_scores_codex":[0.9999443,0.00001071319,0.000003512543,0.000009840786,0.00001407975,0.0000176209],"domain_scores_gemma":[0.9998035,0.0001204871,0.00002477664,0.000008872928,0.00002449355,0.00001782848],"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":[0.00006027268,0.00004039649,0.0009896933,0.00003384985,0.000006287731,0.00005789709,0.00004777069,0.9866981,0.009682845,0.001098046,0.00004810992,0.001236695],"study_design_scores_gemma":[0.000008940073,0.00002926187,0.0001938171,0.000002216228,0.000002154595,0.000004697906,0.00001237773,0.997806,0.001753706,0.0001009985,0.00008323871,0.000002566195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580689,0.0001353064,0.03677066,0.0001414093,0.00002830126,0.00006495749,0.000159346,0.0001106791,0.004520325],"genre_scores_gemma":[0.9901345,0.00008931428,0.007689159,0.00001500361,0.000003623464,0.00007935206,0.00007953101,0.00001391836,0.001895549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01112172,"threshold_uncertainty_score":0.02211398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03328220421152499,"score_gpt":0.2675921464148575,"score_spread":0.2343099422033325,"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."}}