{"id":"W3033322757","doi":"10.1139/cgj-2019-0828","title":"Field monitoring of the ground vibrations adjacent to an onshore wind turbine foundation","year":2020,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Vibration; Attenuation; Foundation (evidence); Turbine; Ground vibrations; Wind power; Field (mathematics); Engineering; Geotechnical engineering; Structural engineering; Acoustics; Marine engineering; Environmental science; Geology; Physics; Aerospace engineering; Electrical engineering; Optics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0001229135,0.0001859038,0.0001609787,0.000509584,0.0005010265,0.0001581529,0.0002193709,0.000249618,0.0007400837],"category_scores_gemma":[0.0003136718,0.0001210818,0.00009815067,0.0003377944,0.0002915651,0.0001392724,0.0001796545,0.0002136851,0.0001335463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003747921,"about_ca_system_score_gemma":0.0003458801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03244654,"about_ca_topic_score_gemma":0.1056666,"domain_scores_codex":[0.9998828,0.0000105369,0.000003118773,0.00002349675,0.00005177423,0.00002832425],"domain_scores_gemma":[0.9996529,0.0000614145,0.00004561314,0.0000170647,0.0001613766,0.0000616451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001278868,0.000480371,0.2614608,0.0001562009,0.00005804078,0.001762219,0.00348851,0.003988868,0.6772468,0.0001177074,0.0009042383,0.04905746],"study_design_scores_gemma":[0.00002357567,0.0007758664,0.9735121,0.00001285731,0.00002980144,0.0002408236,0.001542833,0.005869251,0.0172728,0.00003173832,0.0006746488,0.00001377378],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988478,0.000009097461,0.0004044747,0.00000713805,0.000002323349,0.00001186669,0.0000828148,0.00001471466,0.0006195972],"genre_scores_gemma":[0.9989057,0.00001641465,0.0004702606,0.000004107403,0.000002166498,0.000005922675,0.00008279536,0.000002410729,0.0005103212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03244654,"threshold_uncertainty_score":0.06451535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02683361304226667,"score_gpt":0.2297866190542759,"score_spread":0.2029530060120092,"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."}}