{"id":"W3207761439","doi":"10.3997/nsg.155001","title":"Interpolating GPR data using anti‐alias singular spectrum analysis (SSA) method","year":2017,"lang":"en","type":"article","venue":"Near Surface Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Ground-penetrating radar; Computer science; Geology; Transmitter; Offset (computer science); Interpolation (computer graphics); Frequency domain; Spurious relationship; Algorithm; Alias; Midpoint; Radar; Data mining; Artificial intelligence; Telecommunications; Mathematics; Computer vision; Channel (broadcasting); Geometry","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":[0.0004402525,0.0004598461,0.0002823911,0.0008206207,0.0001641127,0.0004020199,0.000375327,0.0003875484,0.0009531003],"category_scores_gemma":[0.001270774,0.0001707273,0.0005548376,0.0006779407,0.0002113051,0.0004427748,0.0003287306,0.0004014273,0.0004805723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001168235,"about_ca_system_score_gemma":0.0003922528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001644716,"about_ca_topic_score_gemma":0.001263361,"domain_scores_codex":[0.9998598,0.00002976165,0.00001151938,0.00002804393,0.00005526122,0.00001551178],"domain_scores_gemma":[0.99966,0.0001099599,0.00003771067,0.00007797351,0.000102702,0.00001169487],"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":[0.000257705,0.0001606919,0.004126548,0.0001457934,0.00008834284,0.0001917986,0.0002253595,0.53193,0.0898728,0.005249945,0.0006714484,0.3670796],"study_design_scores_gemma":[0.00000343921,0.00002544072,0.0007267488,0.000004791053,0.000006897841,0.000028449,0.00001774027,0.9907732,0.007472466,0.0004757414,0.0004596403,0.000005436985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0812381,0.00005652213,0.9175465,0.00002041257,0.00002096997,0.0000190409,0.0000445444,0.0005673724,0.0004865243],"genre_scores_gemma":[0.393022,0.0001403156,0.605599,0.00001422202,0.00001488824,0.00004047542,0.0002556249,0.00007907272,0.00083445],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001644716,"threshold_uncertainty_score":0.003270328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07056713647458299,"score_gpt":0.3629183267807169,"score_spread":0.2923511903061339,"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."}}