{"id":"W4226303056","doi":"10.1016/j.ijheatmasstransfer.2022.122794","title":"Assessment and numerical validation of a normal mode stability analysis for conjugate heat transfer","year":2022,"lang":"en","type":"article","venue":"International Journal of Heat and Mass Transfer","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Safran Electronics (Canada)","funders":"Safran Aircraft Engines","keywords":"Biot number; Coupling (piping); Computer science; Heat transfer; Stability (learning theory); Computation; Applied mathematics; Limit (mathematics); Numerical stability; Work (physics); Numerical analysis; Mechanics; Mathematics; Materials science; Physics; Thermodynamics; Mathematical analysis; Algorithm","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":[0.0003525263,0.0001310297,0.0003553758,0.0002575365,0.00006168563,0.00002883802,0.0001272028,0.00004252819,0.0002402761],"category_scores_gemma":[0.000002348616,0.0001221852,0.0002368471,0.00012855,0.00003820624,0.0002085007,0.000007020538,0.0001991406,7.68207e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008789259,"about_ca_system_score_gemma":0.00004663663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002804275,"about_ca_topic_score_gemma":0.000007149396,"domain_scores_codex":[0.998725,0.00005032738,0.0005345149,0.0001243875,0.0004237099,0.0001420598],"domain_scores_gemma":[0.9995541,0.00009773492,0.000004559241,0.000063165,0.0001907336,0.00008969607],"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":[0.001411288,0.0003878946,0.06190555,0.0002334828,0.00452004,0.00002784407,0.002122596,0.2113514,0.7116541,0.004525304,0.00006661737,0.001793848],"study_design_scores_gemma":[0.01437584,0.002409111,0.0690546,0.00008803986,0.003422694,0.0002552571,0.0008902374,0.4215573,0.4799664,0.001864822,0.005108901,0.001006833],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5518575,0.0002127196,0.4471237,0.0002487904,0.0001995085,0.00009812833,0.0001909714,0.000007833609,0.00006082956],"genre_scores_gemma":[0.9988544,0.0002568038,0.0006998927,0.00004990374,0.00006560544,0.00002156382,0.00003246516,0.00001540621,0.000003960185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4469969,"threshold_uncertainty_score":0.4982569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520139004985377,"score_gpt":0.2669111225032408,"score_spread":0.2517097324533871,"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."}}