{"id":"W2906899900","doi":"10.1007/s00603-018-1728-2","title":"Numerical Analysis of Support Designs Based on a Case Study of a Longwall Entry","year":2019,"lang":"en","type":"article","venue":"Rock Mechanics and Rock Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Rock mass classification; Longwall mining; Geotechnical engineering; Deformation (meteorology); Stability (learning theory); Engineering; Field (mathematics); Mining engineering; Computer simulation; Limiting; Coal mining; Geology; Civil engineering; Structural engineering; Coal; Computer science; Simulation; Mechanical 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":[0.0001585719,0.0002641718,0.0006133529,0.0005611727,0.00004040855,0.00001239689,0.0001267033,0.000114738,0.00005342557],"category_scores_gemma":[0.00001481011,0.0002652315,0.0001534568,0.0006410292,1.320689e-7,0.00005447737,0.00005500066,0.0001907773,0.000002478969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003789194,"about_ca_system_score_gemma":0.00001804196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004150235,"about_ca_topic_score_gemma":0.000006944605,"domain_scores_codex":[0.9986677,0.00001433455,0.0004698091,0.0002875872,0.0002715495,0.0002890649],"domain_scores_gemma":[0.9992813,0.00008014622,0.0000741369,0.0003734853,0.00006253432,0.0001283958],"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":[0.00001471759,0.0001407079,0.00008871574,0.0001710476,0.0004714346,0.00007904418,0.0005074441,0.9900214,0.008059851,0.0003484568,0.000004111798,0.00009304984],"study_design_scores_gemma":[0.0006741617,0.0005346291,0.00001338743,0.00004765223,0.0004408649,0.00003029894,0.0004951952,0.9946865,0.002792913,0.000007639792,0.00001862229,0.0002581326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4455244,0.00005212319,0.5539917,0.000001123408,0.0001313407,0.0002021099,0.000008373537,0.00006333876,0.00002546246],"genre_scores_gemma":[0.9994219,0.00002597109,0.0004320009,0.000008744778,0.00001703099,0.0000163415,0.000007375867,0.00005683417,0.00001382159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5538975,"threshold_uncertainty_score":0.99998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289315873679141,"score_gpt":0.2151331427830258,"score_spread":0.2022399840462343,"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."}}