{"id":"W4307135224","doi":"10.1007/s40789-022-00549-2","title":"Determination of mining-induced stresses using diametral rock core deformations","year":2022,"lang":"en","type":"article","venue":"International Journal of Coal Science & Technology","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Resources Canada; Newmont Corporation","keywords":"Rock mass classification; Geology; Geotechnical engineering; Stress field; Geomechanics; Rock mechanics; Brittleness; Rock mass rating; Stress (linguistics); Deformation (meteorology); Differential stress; Mining engineering; Geological Strength Index; Excavation; Shear (geology); Petrology; Engineering; Structural engineering; Materials science; Finite element method; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002780067,0.0000590569,0.0001071248,0.001253696,0.0001206146,0.00001961085,0.0007106976,0.00003267564,0.00002436645],"category_scores_gemma":[0.0001156799,0.00005928919,0.0000428554,0.0005124987,0.00003388176,0.0003172419,0.0001522795,0.0001809867,3.734427e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000264427,"about_ca_system_score_gemma":0.0001478281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004878943,"about_ca_topic_score_gemma":0.000004291163,"domain_scores_codex":[0.998913,0.000005490501,0.0003533981,0.00006553821,0.0005305429,0.0001320485],"domain_scores_gemma":[0.9992586,0.00002269677,0.0002226551,0.000072583,0.0003923925,0.00003102769],"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":[0.000006272239,0.00002521137,0.0003543982,0.000002889127,0.00001315122,0.00001057964,0.0002369312,0.8160387,0.1765122,0.0008101637,0.000008605964,0.005980904],"study_design_scores_gemma":[0.0002061274,0.0001396556,0.00006464818,0.0000285087,0.000009839367,0.0004026916,0.001137422,0.8698671,0.1257679,0.002134207,0.0001669521,0.00007485406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7704266,0.00004829119,0.2284434,0.00007821975,0.0008635356,0.00002683428,0.000006065822,0.00002104869,0.00008595672],"genre_scores_gemma":[0.9959505,0.00001278499,0.003978029,0.00001126132,0.00003622829,0.000002108981,7.04706e-7,0.000005939018,0.000002507972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2255238,"threshold_uncertainty_score":0.2417743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03095523739485399,"score_gpt":0.2940551822373184,"score_spread":0.2630999448424644,"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."}}