{"id":"W2115897140","doi":"10.1002/nag.459","title":"A continuum mechanics‐based framework for optimizing boundary and finite element meshes associated with underground excavations‐framework","year":2005,"lang":"en","type":"article","venue":"International Journal for Numerical and Analytical Methods in Geomechanics","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Concordia University","funders":"","keywords":"Computation; Polygon mesh; Excavation; Rock mechanics; Computer science; Finite element method; Rock mass classification; Continuum mechanics; Closure (psychology); Algorithm; Engineering; Structural engineering; Geotechnical engineering; Mechanics; Computer graphics (images)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00225683,0.0009806145,0.001566913,0.001337806,0.0006610164,0.001555111,0.002257823,0.001520944,0.002121094],"category_scores_gemma":[0.003168576,0.0008429833,0.001054197,0.000920711,0.001422418,0.0007945732,0.00190923,0.001380444,0.0004238837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001304337,"about_ca_system_score_gemma":0.001489057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005957549,"about_ca_topic_score_gemma":0.005021064,"domain_scores_codex":[0.9990978,0.0003230532,0.00003634072,0.0001011781,0.0003732684,0.00006840886],"domain_scores_gemma":[0.9989129,0.0006069639,0.0000956367,0.00008356008,0.0002393517,0.00006161828],"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":[0.00001524862,0.00002484091,0.0001597611,0.00003904879,0.00001069777,0.00003334186,0.00003315849,0.9626715,0.001419441,0.02401949,0.0003633697,0.01121015],"study_design_scores_gemma":[0.000002451211,0.000004236881,0.00001371771,0.000003444889,0.000001213549,0.000003039164,0.000003353113,0.9959989,0.0001608934,0.003434521,0.0003725372,0.000001720958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001998469,0.00004300581,0.997223,0.00004183706,0.000006538933,0.00002228979,0.00001602104,0.00007980545,0.0005689078],"genre_scores_gemma":[0.1663968,0.0001564878,0.8308833,0.00005749062,0.00002771847,0.0003545238,0.000164776,0.0003143138,0.001644506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005957549,"threshold_uncertainty_score":0.01193535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03624636201290302,"score_gpt":0.3575272382888348,"score_spread":0.3212808762759318,"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."}}