{"id":"W2089879433","doi":"10.1520/jte20140083","title":"Application of the Surface Wave Survey Method on Multi-Scale Engineering Problems: Laboratory and Field Testing Case Studies","year":2014,"lang":"en","type":"article","venue":"Journal of Testing and Evaluation","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geomechanica (Canada)","funders":"","keywords":"Field (mathematics); Scale (ratio); Engineering; Mechanical engineering; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001954895,0.0009368512,0.0007847276,0.001865314,0.0005964317,0.0007350403,0.001235813,0.002221069,0.001555386],"category_scores_gemma":[0.003216449,0.0003306356,0.0006409092,0.0012015,0.001297718,0.0009001301,0.001105983,0.0006169819,0.000275676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006080079,"about_ca_system_score_gemma":0.0004607873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002453685,"about_ca_topic_score_gemma":0.003598862,"domain_scores_codex":[0.9984885,0.0006078818,0.00012543,0.0001720867,0.0004596341,0.0001463458],"domain_scores_gemma":[0.9940476,0.003982927,0.0004175667,0.0005692295,0.0006823318,0.0003003315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001812785,0.012107,0.05636563,0.001454636,0.0002154277,0.01190344,0.001301282,0.6409144,0.1030576,0.006916678,0.003433663,0.1605175],"study_design_scores_gemma":[0.000470807,0.008771203,0.01800686,0.0000837862,0.00008375784,0.002749704,0.002186126,0.8881709,0.07238036,0.003417177,0.003553984,0.0001254313],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9501992,0.0002079959,0.04506064,0.0002866385,0.00003119761,0.0004669723,0.0002028571,0.0001354245,0.003409069],"genre_scores_gemma":[0.9661606,0.0001521836,0.03199637,0.00002654725,0.00001444544,0.0002254563,0.0001102664,0.00001069448,0.001303535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002453685,"threshold_uncertainty_score":0.0103386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1045232824538739,"score_gpt":0.3214108128213621,"score_spread":0.2168875303674882,"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."}}