{"id":"W2605488878","doi":"10.36487/acg_rep/1704_44_morissette","title":"The development of a ground support design strategy for deep mines subjected to dynamic-loading conditions","year":2017,"lang":"en","type":"article","venue":"Deep mining","topic":"Geomechanics and Mining Engineering","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agnico Eagle (Canada); University of Toronto","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003095215,0.0001554299,0.0001735709,0.00008946963,0.0004909409,0.0001332859,0.0003111823,0.00005735136,0.000008530413],"category_scores_gemma":[0.0001667304,0.0001434258,0.00004109728,0.00007724123,0.00001594264,0.00009998338,0.00004603013,0.00005367991,0.00000476184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000514285,"about_ca_system_score_gemma":0.00004085942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002718401,"about_ca_topic_score_gemma":0.00025498,"domain_scores_codex":[0.9991001,0.00000553222,0.0002973816,0.0001475375,0.0001028633,0.0003465794],"domain_scores_gemma":[0.9992864,0.0001789827,0.00007054818,0.0002919641,0.00009276078,0.00007937482],"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":[0.00006715031,0.00005790215,0.0002151702,0.0004856685,0.0007304884,0.00002156651,0.01991195,0.3980482,0.3870162,0.003291673,0.0008820053,0.1892721],"study_design_scores_gemma":[0.0008974285,0.0001925255,0.005795266,0.0002001225,0.00007590872,0.0000192782,0.003786888,0.9348459,0.04847846,0.000356133,0.004595567,0.0007565373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4445901,0.0000577231,0.5542183,0.00001354608,0.0003646136,0.0002512176,0.00000792108,0.00009634642,0.0004002132],"genre_scores_gemma":[0.9343821,0.000004096699,0.0652397,0.000003991887,0.00003064506,0.0001585607,0.00001956545,0.00004341697,0.0001178859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5367977,"threshold_uncertainty_score":0.5848736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0343158485199864,"score_gpt":0.2697373035243206,"score_spread":0.2354214550043342,"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."}}