{"id":"W2655829946","doi":"","title":"Generation of a Synthetic Rock Mass (SRM) Model for Simulation of Strength of Crystalline Rock using a Hybrid DFN- DEM Approach","year":2015,"lang":"en","type":"article","venue":"ISRM Regional Symposium - EUROCK 2015","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Rock mass classification; Geology; Computer science; Geotechnical 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"],"consensus_categories":[],"category_scores_codex":[0.0002257008,0.0002399833,0.000418678,0.0001733365,0.00004428688,0.00001059565,0.0001888413,0.0001107553,0.00000128134],"category_scores_gemma":[0.00004931416,0.000250819,0.000155171,0.0001351009,0.000008073621,0.0001728234,0.00004688266,0.00009378739,6.045101e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008784908,"about_ca_system_score_gemma":0.0001145533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001296556,"about_ca_topic_score_gemma":0.00000227887,"domain_scores_codex":[0.9983076,0.0000324577,0.0006943909,0.0002766187,0.0004434974,0.0002453847],"domain_scores_gemma":[0.9987074,0.00006647844,0.0002738509,0.0002935346,0.0005507097,0.000108059],"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":[0.00005766344,0.00007083126,0.000003207299,0.0001885015,0.00004282305,2.419776e-7,0.0002105145,0.764563,0.2342338,0.0003381461,0.0002657955,0.00002544029],"study_design_scores_gemma":[0.0006338487,0.0001023332,3.600182e-7,0.00008425234,0.00009574993,0.000007265551,0.0000400766,0.9631914,0.03456807,0.0009415951,0.0001235113,0.0002114987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2266325,0.0002894891,0.7724648,0.00001956709,0.00008944122,0.000316662,0.00007920719,0.00003802706,0.00007038556],"genre_scores_gemma":[0.9812545,0.00004237618,0.01827351,0.00001012204,0.0001499738,0.00001660554,0.0001085894,0.00007469399,0.00006959638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.754622,"threshold_uncertainty_score":0.9999944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.103899317007291,"score_gpt":0.2777073875965514,"score_spread":0.1738080705892605,"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."}}