{"id":"W3200513939","doi":"10.32393/csme.2021.143","title":"Realistic Representative Volume Element Generation For Sintered Solids Part 1: Algorithm For Volume Computation And Geometry Creation","year":2021,"lang":"en","type":"article","venue":"Progress in Canadian Mechanical Engineering. Volume 4","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Volume (thermodynamics); Computation; Computational geometry; Geometry; Computer science; Element (criminal law); Finite element method; Computational science; Algorithm; Mathematics; Engineering; Structural engineering; Physics; Thermodynamics","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"],"consensus_categories":[],"category_scores_codex":[0.0003079634,0.000239257,0.0002940847,0.0002815769,0.00009564671,0.0001202985,0.0001225696,0.0002052873,0.00003541226],"category_scores_gemma":[0.000400904,0.0002982262,0.00006863045,0.000220002,0.00004101679,0.000111671,0.00004693145,0.0002032984,0.000003313171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004391762,"about_ca_system_score_gemma":0.00007764176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001086874,"about_ca_topic_score_gemma":0.003814141,"domain_scores_codex":[0.998443,0.00002244884,0.0003849349,0.0004431423,0.0001316721,0.0005747675],"domain_scores_gemma":[0.9992938,0.00009283218,0.00005099862,0.0002066968,0.0001527057,0.0002029362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001935351,0.00007759117,0.001555866,0.0006803005,0.0003005691,0.00006991455,0.0002904449,0.09294719,0.0005974647,0.004270377,0.02052612,0.8786648],"study_design_scores_gemma":[0.0004600396,0.00009302645,0.000829347,0.00007124545,0.00003021407,0.000009460829,0.00005941635,0.9738363,0.006505707,0.0005456958,0.01724472,0.000314851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02192072,0.0005571428,0.9743968,0.0006760375,0.0006571634,0.0007932017,0.000534884,0.0004451839,0.00001885103],"genre_scores_gemma":[0.8118246,0.00004771921,0.1856472,0.00004018302,0.0002908707,0.0008282995,0.001019465,0.00008129191,0.0002204592],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8808891,"threshold_uncertainty_score":0.999947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01983850851296406,"score_gpt":0.2631671940670139,"score_spread":0.2433286855540498,"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."}}