{"id":"W2796319753","doi":"","title":"Numerical Simulation of Rock Cone Pullout and the Influence of Discrete Fracture Network Statistics on Foundation Anchor Capacity","year":2015,"lang":"en","type":"article","venue":"13th ISRM International Congress of Rock Mechanics","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Foundation (evidence); Fracture (geology); Geotechnical engineering; Geology; Statistics; Mathematics; Geography; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001770669,0.0001402948,0.0002633903,0.0000524532,0.00002717296,0.00001635907,0.0001982303,0.0001047328,0.00001093768],"category_scores_gemma":[0.0004868932,0.000109793,0.00004066402,0.00009307742,0.00002155846,0.0001026042,0.00003771216,0.0002068091,9.547772e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004109421,"about_ca_system_score_gemma":0.00001858025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005010097,"about_ca_topic_score_gemma":0.000005382819,"domain_scores_codex":[0.9989475,0.00003078925,0.0003894347,0.0001190614,0.0003955374,0.0001176714],"domain_scores_gemma":[0.998933,0.0002908784,0.0001961855,0.0001626953,0.0003618991,0.00005534211],"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":[0.0001100633,0.000009037872,0.00004526529,0.00004933289,0.00007240652,3.284396e-7,0.0001054597,0.9717478,0.0001435754,0.02742366,0.0001422462,0.0001507944],"study_design_scores_gemma":[0.0007310691,0.00008444691,0.0005183027,0.00007850544,0.00002694842,0.000002152422,0.0000206393,0.9805904,0.0006214323,0.016451,0.0007741767,0.0001009122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1117442,0.0000824915,0.887157,0.0000758117,0.0006116233,0.0001600708,0.00007330394,0.00004108682,0.00005437194],"genre_scores_gemma":[0.9987234,0.00003136155,0.001070088,0.00003319636,0.00006673462,0.000005557475,0.00003439064,0.00001570021,0.00001951332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8869792,"threshold_uncertainty_score":0.4477229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01167898057506681,"score_gpt":0.2417858821483082,"score_spread":0.2301069015732413,"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."}}