{"id":"W2323091252","doi":"10.3997/2214-4609-pdb.177.180","title":"Detection Of Buried Timber Trestles Using Surface Waves","year":2008,"lang":"en","type":"article","venue":"21st EEGS Symposium on the Application of Geophysics to Engineering and Environmental Problems","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Geophone; Geology; Contour line; Morlet wavelet; Wavelet; Dispersion (optics); Surface wave; Energy (signal processing); Acoustics; Remote sensing; Seismology; Wavelet transform; Optics; Discrete wavelet transform; Physics; Computer science; Mathematics; Statistics","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":[0.00006630573,0.0001023992,0.0001314373,0.00003030829,0.00008283009,0.000005964047,0.00008570703,0.00002870148,0.00001790527],"category_scores_gemma":[0.000001797609,0.00007225462,0.00004029993,0.0001273216,0.00005898824,0.00004773739,0.00001192911,0.00005113952,0.00001351099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000559836,"about_ca_system_score_gemma":0.000003393098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007531131,"about_ca_topic_score_gemma":0.000004538774,"domain_scores_codex":[0.9994253,0.00001082728,0.0001651336,0.0001512681,0.0001419391,0.0001055337],"domain_scores_gemma":[0.9996465,0.00006133757,0.00007736325,0.0001648831,0.000003862751,0.00004609747],"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":[0.00001228113,0.00002026486,0.00128628,0.00001577791,0.00001859014,1.060295e-7,0.0001416671,0.6791441,0.3185907,0.00003674423,0.000001710662,0.0007317816],"study_design_scores_gemma":[0.0001943242,0.0002390487,0.04952488,0.00003431944,0.00004727459,0.000009654908,0.000202314,0.8809764,0.06730452,0.0001597151,0.001065684,0.0002418804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960172,0.00004835154,0.003503966,0.00007903126,0.00001852936,0.0001511604,0.00004301972,0.00001101036,0.0001277581],"genre_scores_gemma":[0.9992787,0.000153813,0.0004120968,0.00002452551,0.000029291,0.000001917587,0.00002389541,0.000005639777,0.0000700857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2512862,"threshold_uncertainty_score":0.2946458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008058537569114375,"score_gpt":0.1646924714829112,"score_spread":0.1566339339137969,"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."}}