{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003197311,0.0002094465,0.0001599633,0.00118564,0.0002037922,0.0002447102,0.0001699821,0.0002531931,0.0004009718],"category_scores_gemma":[0.0009000212,0.00009220019,0.0002019651,0.001272818,0.00013033,0.0002252623,0.000163947,0.0001717446,0.000105953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002684396,"about_ca_system_score_gemma":0.000241116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0331435,"about_ca_topic_score_gemma":0.04899481,"domain_scores_codex":[0.9998761,0.00002195741,0.00001345136,0.00003486143,0.00002933024,0.00002417656],"domain_scores_gemma":[0.9997674,0.00005721961,0.00005501381,0.00002398389,0.00007671537,0.00001965417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003850275,0.0002321886,0.8161297,0.0001233717,0.0001170281,0.0007552872,0.001297409,0.05625379,0.01833275,0.0006156349,0.001493904,0.104264],"study_design_scores_gemma":[0.000001950839,0.00002784753,0.9487807,0.00001022703,0.00001581022,0.00004756925,0.0005312063,0.04949359,0.0006679023,0.00004736242,0.0003653299,0.00001049321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982637,0.00003972083,0.0009424088,0.00001746113,0.00000494134,0.000003137724,0.0004303088,0.00001184382,0.0002866089],"genre_scores_gemma":[0.9984437,0.00003328061,0.0006407032,0.000002105223,0.000003403919,0.000004994517,0.0006924041,0.00000231488,0.0001770976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0331435,"threshold_uncertainty_score":0.06590116,"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."}}