{"id":"W2804835711","doi":"10.3390/en11051285","title":"Simulation of Ground Stress Field and Advanced Prediction of Gas Outburst Risks in the Non-Mining Area of Xinjing Mine, China","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Algoma University","funders":"National Natural Science Foundation of China","keywords":"Coal; Coal mining; Lithology; Borehole; Mining engineering; Geology; Stress (linguistics); Stress field; Geotechnical engineering; Finite element method; Engineering; Petrology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005984542,0.00004598961,0.00008306364,0.0000441597,0.00001630012,0.000004351624,0.00003850064,0.00002859517,0.00000451212],"category_scores_gemma":[0.00005837698,0.00003514736,0.00001102934,0.0000935675,0.00002795681,0.0000941875,0.00001314698,0.00002690637,2.339754e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004706653,"about_ca_system_score_gemma":0.000002506205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003084344,"about_ca_topic_score_gemma":0.0001695347,"domain_scores_codex":[0.9996803,0.000008811418,0.0001542058,0.00004733394,0.00005985917,0.00004949585],"domain_scores_gemma":[0.9997631,0.00007871458,0.00004200362,0.0000780293,0.00003305671,0.000005043501],"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":[0.00002064813,0.000007854979,0.01447666,0.00008521098,0.000006031133,6.300937e-8,0.00394201,0.9656237,0.006431722,0.00001945367,0.000005355422,0.009381295],"study_design_scores_gemma":[0.0001622975,0.0001194194,0.1076656,0.0001442689,0.00000787684,1.45038e-7,0.001638395,0.8617818,0.02839722,0.00002912843,0.00002105239,0.00003272166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960691,0.0002392313,0.002960734,0.00000810132,0.00007805798,0.00005057476,0.00000510265,0.00001087875,0.0005782085],"genre_scores_gemma":[0.9997556,0.00006435514,0.0001289062,0.000001769464,0.00003047032,0.0000022526,0.000004781225,0.000005002742,0.000006864654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1038419,"threshold_uncertainty_score":0.1433268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02058277958679744,"score_gpt":0.2411477950612696,"score_spread":0.2205650154744722,"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."}}