{"id":"W873479316","doi":"10.1016/j.tust.2015.06.004","title":"Influence of wavelength-to-excavation span ratio on ground motion around deep underground excavations","year":2015,"lang":"en","type":"article","venue":"Tunnelling and Underground Space Technology","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Excellence in Mining Innovation; Laurentian University","funders":"","keywords":"Excavation; Geotechnical engineering; Seismic wave; Wavelength; Amplitude; Span (engineering); Ground motion; Geology; Engineering; Structural engineering; Seismology; Optics; Physics","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":[0.0003362029,0.000467244,0.0005146168,0.0009275061,0.0001929501,0.0001065797,0.0003243292,0.0005432504,0.000005504201],"category_scores_gemma":[0.0003001093,0.0004886529,0.00006852575,0.001215724,0.0002209643,0.0002845062,0.00007499386,0.0006241978,0.00002880611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002922762,"about_ca_system_score_gemma":0.00004926435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001095892,"about_ca_topic_score_gemma":0.0001537952,"domain_scores_codex":[0.9978582,0.00003978587,0.000591754,0.0005308252,0.0003951703,0.0005842368],"domain_scores_gemma":[0.9985681,0.0002174775,0.000123878,0.0006152747,0.0002048913,0.0002703747],"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":[0.0000249514,0.00004961322,0.0002522056,0.00008218804,0.00006573631,0.000004635182,0.0002664236,0.8544194,0.004857546,0.136962,0.0001057186,0.002909586],"study_design_scores_gemma":[0.003033491,0.001789327,0.01009088,0.000486662,0.0002083103,0.0002888275,0.00500241,0.6284448,0.006725163,0.3358878,0.00564992,0.002392412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7033722,0.0002713797,0.2932273,0.000872811,0.0002305669,0.0002727992,0.000004459591,0.0009663455,0.0007821087],"genre_scores_gemma":[0.9941661,0.0001926819,0.005125486,0.0000761639,0.0001101214,0.00004422954,0.00002132043,0.0000812783,0.0001826396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2907939,"threshold_uncertainty_score":0.9997565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01264153378184172,"score_gpt":0.2173119857578336,"score_spread":0.2046704519759919,"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."}}