{"id":"W2323267664","doi":"10.2514/6.2005-5334","title":"Parallel AMR Scheme for Turbulent Multi-Phase Rocket Motor Core Flows","year":2005,"lang":"en","type":"article","venue":"17th AIAA Computational Fluid Dynamics Conference","topic":"Rocket and propulsion systems research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Innovation Trust","keywords":"Turbulence; Computer science; Core (optical fiber); Scheme (mathematics); Solid-fuel rocket; Aerospace engineering; Phase (matter); Mechanics; Physics; Mathematics; Engineering; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002329828,0.0003031838,0.0003259254,0.0001836113,0.0001856571,0.0001294118,0.0003846629,0.0001503658,0.0001670025],"category_scores_gemma":[0.0000604405,0.0003069846,0.0001327691,0.000175644,0.00003887363,0.0002121495,0.00006462814,0.0002435566,0.0002013313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002339178,"about_ca_system_score_gemma":0.0001445108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001194968,"about_ca_topic_score_gemma":0.00006201679,"domain_scores_codex":[0.9980795,0.0000339359,0.0005346496,0.0003771242,0.0004913863,0.0004833703],"domain_scores_gemma":[0.9987149,0.0002102047,0.00005557768,0.0002508485,0.0005197311,0.0002487836],"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":[0.0003138043,0.0004180167,0.0004527555,0.0004466001,0.0002133197,0.00002175665,0.000559077,0.6500713,0.006289426,0.007342352,0.004700633,0.329171],"study_design_scores_gemma":[0.001937535,0.00008461451,0.0003337979,0.00005320152,0.000008050602,0.00002103507,0.00004259177,0.9916719,0.0001656568,0.000963836,0.004367793,0.0003499674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3020498,0.0002317904,0.6955067,0.0003485352,0.0002259722,0.0007886451,0.0002929041,0.0002519025,0.0003037099],"genre_scores_gemma":[0.8496449,0.00003804213,0.1479379,0.0000745596,0.0002117328,0.0002404265,0.0008396248,0.00005296347,0.0009598378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5475951,"threshold_uncertainty_score":0.9999382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05686046542384807,"score_gpt":0.3236788859318965,"score_spread":0.2668184205080485,"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."}}