{"id":"W1941690633","doi":"10.1002/nag.2194","title":"Simulation of drilling‐induced compaction bands using discrete element method","year":2013,"lang":"en","type":"article","venue":"International Journal for Numerical and Analytical Methods in Geomechanics","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Universidad de Concepción","keywords":"Breakout; Borehole; Geology; Drilling; Fracture (geology); Stress field; Geotechnical engineering; Stress (linguistics); Anisotropy; Compaction; Finite element method; Materials science; Structural engineering; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003250083,0.0004257651,0.0005057575,0.0004577955,0.0003359229,0.0005925543,0.0007504728,0.001087216,0.002754558],"category_scores_gemma":[0.000926741,0.0003725256,0.0004599872,0.0002901575,0.0004517376,0.000293188,0.0004401888,0.0005078708,0.000248147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004336117,"about_ca_system_score_gemma":0.0006941741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007465903,"about_ca_topic_score_gemma":0.00400632,"domain_scores_codex":[0.9998821,0.00002712752,0.000007543974,0.00001460237,0.00004268299,0.00002595955],"domain_scores_gemma":[0.9994128,0.0003593079,0.00005567712,0.00003621338,0.0000945065,0.0000416028],"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":[0.00002692804,0.00002641562,0.0008586632,0.00002170926,0.000006841572,0.00003575164,0.00003151325,0.994932,0.001693908,0.0006931745,0.0000798781,0.001593253],"study_design_scores_gemma":[0.000004303923,0.000006698739,0.00007826465,0.000001631469,0.000001070764,0.000003291889,0.000005614739,0.9993739,0.0002962284,0.0001037939,0.0001233459,0.000001904369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6121354,0.0001739552,0.3699215,0.0002693202,0.0001016809,0.0001984787,0.0008682222,0.001294369,0.0150372],"genre_scores_gemma":[0.9364751,0.00008615584,0.06030946,0.0000347002,0.000006199672,0.0001804621,0.0003902277,0.00005928406,0.002458319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007465903,"threshold_uncertainty_score":0.01484489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06321940153780091,"score_gpt":0.4187198341462868,"score_spread":0.3555004326084859,"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."}}