{"id":"W2388771720","doi":"","title":"Stability Analysis of Kunlun Mountain Tunnel for Qinghai-Tibet Railway","year":2002,"lang":"en","type":"article","venue":"Acta Geosicientia Sinica","topic":"Civil and Geotechnical Engineering Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Geology; Arch; Inversion (geology); Stress field; Stress (linguistics); Geotechnical engineering; Tectonics; Finite element method; Engineering; Seismology; Civil 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":[0.0002370114,0.0002066891,0.0001898215,0.0009014211,0.0004404215,0.0003583844,0.0002033287,0.0002608785,0.001025256],"category_scores_gemma":[0.0004285372,0.0001224174,0.0003568311,0.0002966605,0.0001827213,0.0001492984,0.0001487515,0.00008620945,0.0001019049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004487143,"about_ca_system_score_gemma":0.0004734857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02074798,"about_ca_topic_score_gemma":0.01312196,"domain_scores_codex":[0.9999379,0.000009948769,0.000003480682,0.00001167661,0.00001862726,0.00001847092],"domain_scores_gemma":[0.9998324,0.00003234849,0.00003361456,0.0000069025,0.00007374754,0.00002091517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004718342,0.00008408069,0.1281417,0.0001485937,0.00009127404,0.001335341,0.0004669375,0.7458805,0.09774268,0.002563257,0.0006279718,0.02244572],"study_design_scores_gemma":[0.00001509022,0.0001633771,0.07962872,0.0000148711,0.00002734929,0.0001548595,0.0002323003,0.9145692,0.004482598,0.0003449323,0.000340656,0.00002605587],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933164,0.00005922126,0.005823661,0.00001548394,0.000003097629,0.000005873931,0.0000673155,0.00002799266,0.000680887],"genre_scores_gemma":[0.9993351,0.00001964687,0.0003399419,0.000001183734,9.091726e-7,0.000003089435,0.00007381617,0.000003703371,0.0002225419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02074798,"threshold_uncertainty_score":0.04125446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0273262676355778,"score_gpt":0.2422614853054675,"score_spread":0.2149352176698897,"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."}}