{"id":"W2946661489","doi":"10.1016/j.ijrefrig.2019.05.016","title":"An open-source density-based solver for two-phase <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si11.svg\"><mml:msub><mml:mtext>CO</mml:mtext><mml:mtext>2</mml:mtext></mml:msub></mml:math> compressible flows: Verification and validation","year":2019,"lang":"lv","type":"article","venue":"International Journal of Refrigeration","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Collège Shawinigan; Université de Sherbrooke","funders":"","keywords":"Solver; Nozzle; Viscosity; Turbulence; Boundary value problem; Equation of state; Applied mathematics; Computer science; Mechanics; Thermodynamics; Mathematics; Statistical physics; Physics; Mathematical analysis; Mathematical optimization","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001470866,0.0005106915,0.0003585292,0.0004745079,0.0006046891,0.0018795,0.001072949,0.0005809581,0.0008582303],"category_scores_gemma":[0.0002711035,0.0007117662,0.000467964,0.0002958053,0.0001607333,0.002198867,0.0002658047,0.0007579338,0.0003192403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001343835,"about_ca_system_score_gemma":0.0006610064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002445827,"about_ca_topic_score_gemma":0.0002642937,"domain_scores_codex":[0.995442,0.0001853828,0.0015289,0.0007535372,0.001493499,0.0005966751],"domain_scores_gemma":[0.9961743,0.0006213021,0.001396618,0.0006546499,0.0007876148,0.0003654949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001255135,0.0004473137,0.00005791368,0.0002591189,0.0006840749,0.00008708212,0.0008135503,0.3246617,0.05740562,0.605145,0.001488989,0.00769455],"study_design_scores_gemma":[0.003558354,0.0009298777,0.0002804471,0.0006123246,0.0003010685,0.0003228111,0.0002364423,0.9416028,0.04862541,0.0005857419,0.002339071,0.0006056826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8658946,0.0002541372,0.1287891,0.0005574149,0.002461096,0.0001762755,0.0002508335,0.00007724525,0.001539286],"genre_scores_gemma":[0.9842985,0.0002362359,0.01079785,0.000462259,0.001326941,0.0001032435,0.002392647,0.0002181048,0.0001642503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6169411,"threshold_uncertainty_score":0.9995334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01656266715670838,"score_gpt":0.2779550781410443,"score_spread":0.2613924109843359,"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."}}