{"id":"W258456502","doi":"10.4271/2015-01-2161","title":"Multi-time Step Icing Calculations Using a 3D Multi-block Structured Mesh Generation Procedure","year":2015,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Block (permutation group theory); Mesh generation; Computational science; Parallel computing; Finite element method; Engineering; Mathematics; Structural engineering","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0005507658,0.0009709203,0.001022759,0.000430308,0.0005077017,0.0001869643,0.0008376091,0.001368647,0.00005183602],"category_scores_gemma":[0.001325425,0.0008795275,0.0003197337,0.001084517,0.0005672816,0.0005529037,0.0003506699,0.001494173,0.00009403504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007325485,"about_ca_system_score_gemma":0.0001540837,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007713116,"about_ca_topic_score_gemma":0.02747842,"domain_scores_codex":[0.9956864,0.00011446,0.001175163,0.001085771,0.0008424197,0.001095818],"domain_scores_gemma":[0.9975937,0.0001669087,0.0001975183,0.001410424,0.0002338023,0.0003976424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005302321,0.0001471655,0.0001603097,0.00006510736,0.00007143496,0.00003100595,0.0000971247,0.01808843,0.9756635,0.0006040424,0.002426165,0.002592696],"study_design_scores_gemma":[0.005128054,0.001491754,0.9567511,0.001045755,0.0005650983,0.0007461315,0.0007288937,0.005829802,0.01139996,0.0007634655,0.01142164,0.004128336],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701192,0.0005737841,0.0006171666,0.0009377582,0.0008093124,0.002149296,0.0001112705,0.02059753,0.004084677],"genre_scores_gemma":[0.8828645,0.00005316988,0.1158268,0.0003204148,0.0002177699,0.0001553999,0.00007314867,0.0002135136,0.0002752955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9642636,"threshold_uncertainty_score":0.9999278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03244064321806331,"score_gpt":0.2651034074114927,"score_spread":0.2326627641934294,"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."}}