{"id":"W3196629486","doi":"","title":"Discrete Fracture Network Approach in Ground Support Design Optimisation for Large Span Cavern in Jointed Rock Mass","year":2021,"lang":"en","type":"article","venue":"55th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Geoscience and Mining Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Rock mass classification; Span (engineering); Fracture (geology); Geology; Geotechnical engineering; Engineering; Structural 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008270193,0.0007195426,0.001070507,0.0007345343,0.0003982807,0.0008654861,0.001080381,0.001396251,0.00346466],"category_scores_gemma":[0.001808657,0.0006448634,0.0006248269,0.0005330662,0.0006686491,0.0007328186,0.0008772689,0.001016603,0.0002866048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008016011,"about_ca_system_score_gemma":0.0009617098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01125208,"about_ca_topic_score_gemma":0.0136495,"domain_scores_codex":[0.9997782,0.00008147563,0.000008359351,0.00003929319,0.00006034463,0.00003233643],"domain_scores_gemma":[0.9991345,0.0006441017,0.00005332905,0.00002376701,0.0001075442,0.00003671616],"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":[0.00001268573,0.000008066034,0.0001158683,0.0000135098,0.000005382081,0.00001052949,0.000007246596,0.9962966,0.0001362282,0.0005781103,0.00007143837,0.002744389],"study_design_scores_gemma":[0.00000232282,0.00000717186,0.00002968987,0.000001786917,0.000001188624,0.000001780049,0.000004603163,0.9994271,0.0000376026,0.0004032875,0.00008257764,9.610935e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08252781,0.0004182541,0.9086536,0.0003202494,0.00004917043,0.00007061896,0.000192132,0.0002177232,0.007550475],"genre_scores_gemma":[0.885262,0.0002059028,0.1081451,0.00007269462,0.00002681175,0.0001685589,0.0001815327,0.0001306036,0.005806741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01125208,"threshold_uncertainty_score":0.02237314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155239533495092,"score_gpt":0.2199232461718044,"score_spread":0.2043992928222952,"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."}}