{"id":"W2536331193","doi":"10.1007/s10706-016-0108-5","title":"Development of Synthetic Rock Mass Bonded Block Models to Simulate the Behaviour of Intact Veined Rock","year":2016,"lang":"en","type":"article","venue":"Geotechnical and Geological Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Rock mass classification; Compressive strength; Block (permutation group theory); Hydrogeology; Geology; Ultimate tensile strength; Geotechnical engineering; Fracture (geology); Numerical modeling; Materials science; Composite material; Geometry; Mathematics; Geophysics","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":[0.0002774315,0.000434605,0.0004028455,0.0003831813,0.0002346545,0.0004446514,0.001361154,0.0009485603,0.002295964],"category_scores_gemma":[0.001206475,0.0004712496,0.0004115535,0.0002864258,0.0002765199,0.0003485561,0.0003800881,0.0004555944,0.0004523891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004021213,"about_ca_system_score_gemma":0.001056093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007045341,"about_ca_topic_score_gemma":0.007145931,"domain_scores_codex":[0.9998883,0.00002530511,0.000007608601,0.00001320247,0.00005309768,0.00001249],"domain_scores_gemma":[0.9995958,0.0001429717,0.00004907546,0.00005520323,0.0001275273,0.00002947521],"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":[0.000007852512,0.0000235966,0.0004119699,0.00001842399,0.00000793747,0.00002967483,0.00001664757,0.9930602,0.002206947,0.001222742,0.0001371674,0.002856781],"study_design_scores_gemma":[0.000002742558,0.00000691517,0.00005715036,0.000001786028,0.000001219382,0.000004014644,0.000003022648,0.9990869,0.0005209552,0.00009888389,0.0002148708,0.000001501869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4320221,0.0002235332,0.5462481,0.0002536204,0.000131206,0.0003244112,0.001275977,0.001271436,0.01824943],"genre_scores_gemma":[0.8760118,0.0001694341,0.1187572,0.00002962462,0.00001170166,0.0002587751,0.0006618089,0.0001752709,0.003924262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007045341,"threshold_uncertainty_score":0.01400864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01694072469613608,"score_gpt":0.1980545195163773,"score_spread":0.1811137948202412,"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."}}