{"id":"W4307957094","doi":"10.1016/j.icheatmasstransfer.2022.106390","title":"Theoretical analysis of entropy production in exothermic/endothermic reactive magnetized nanofluid flow through curved porous space with variable permeability and porosity","year":2022,"lang":"en","type":"article","venue":"International Communications in Heat and Mass Transfer","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"King Khalid University","keywords":"Nanofluid; Exothermic reaction; Mechanics; Lorentz force; Endothermic process; Materials science; Porosity; Porous medium; Permeability (electromagnetism); Entropy (arrow of time); Darcy number; Magnetic field; Thermodynamics; Physics; Heat transfer; Natural convection; Chemistry; Composite material; Adsorption","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":[],"consensus_categories":[],"category_scores_codex":[0.0003666709,0.0001434572,0.0002944274,0.0002736858,0.00008497195,0.00001602421,0.0002662003,0.00005280584,0.0003829162],"category_scores_gemma":[0.00001248298,0.0001410008,0.00004604416,0.0005209628,0.0002538138,0.0001682428,0.00003878726,0.0003115305,2.313523e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001558222,"about_ca_system_score_gemma":0.00002897909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004892118,"about_ca_topic_score_gemma":0.0005181683,"domain_scores_codex":[0.998895,0.0001870106,0.0003278622,0.0002399057,0.000200268,0.000149923],"domain_scores_gemma":[0.9993027,0.0001553449,0.000007335268,0.0004418334,0.00006418658,0.00002852696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001448596,0.001095237,0.132073,0.0001221583,0.001103177,0.00000868543,0.009866454,0.05237863,0.4752011,0.3254477,0.00001599269,0.001239323],"study_design_scores_gemma":[0.01165774,0.0008857509,0.2984635,0.0002873903,0.001664702,0.000127714,0.003526198,0.5817485,0.06005691,0.03452257,0.00519934,0.00185976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882514,0.000806196,0.006644115,0.00101039,0.00008366762,0.0004015769,0.0001565864,0.00004199389,0.002604039],"genre_scores_gemma":[0.9949145,0.001226445,0.003523386,0.00002819123,0.000008801349,0.0001664965,0.00008696726,0.00001927216,0.00002592364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5293698,"threshold_uncertainty_score":0.5749845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219124599638521,"score_gpt":0.2357651987500129,"score_spread":0.2235739527536277,"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."}}