{"id":"W2734447368","doi":"10.5539/esr.v6n2p112","title":"Non-Parametric Wavelet Functional Analysis for Horizontal and Vertical displacements Derived from GPS Stations in Western Alaska during the Year 2012","year":2017,"lang":"en","type":"article","venue":"Earth Science Research","topic":"Statistical and numerical algorithms","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Geology; Geodesy; Tectonics; Seismology; Parametric statistics; Global Positioning System; Wavelet; Active fault; Vertical displacement; Horizontal and vertical; Subsidence; Computer science; Mathematics; Telecommunications; Statistics; Geomorphology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001194445,0.0000775305,0.0001607017,0.0002937388,0.001131548,0.0003593078,0.0003699377,0.00003155409,0.0001436704],"category_scores_gemma":[0.002269342,0.00005172921,0.00004105121,0.0008905838,0.0009604736,0.0003159966,0.0002697544,0.0002247434,0.00003773301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004324745,"about_ca_system_score_gemma":0.00009041351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000233364,"about_ca_topic_score_gemma":0.0004519427,"domain_scores_codex":[0.9980267,0.00005323887,0.0001768754,0.0003418993,0.0009106465,0.0004906044],"domain_scores_gemma":[0.9977679,0.00153096,0.00003122439,0.000333086,0.000157793,0.0001790635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003811119,0.000506508,0.9755376,0.00005609093,0.0002194785,0.00002131165,0.0009215504,0.00003091294,0.007957581,0.004927658,0.0002231575,0.00921702],"study_design_scores_gemma":[0.0004932579,0.00007627262,0.9738909,0.000008564873,0.00002139951,5.564114e-7,0.0001432746,0.01778595,0.000814708,0.006668678,0.00002694074,0.00006951577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631258,0.000009734486,0.03596886,0.0003869132,0.00005518735,0.0002835728,0.00005924708,0.000005633862,0.0001050098],"genre_scores_gemma":[0.9910544,0.000008881643,0.008321281,0.000006017436,0.000056546,0.00005301353,0.000005741846,0.000005580767,0.0004885595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02792854,"threshold_uncertainty_score":0.8703064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1223239597483524,"score_gpt":0.4187281915666722,"score_spread":0.2964042318183198,"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."}}