{"id":"W2761471939","doi":"","title":"Evaluation of the Suitability of GNSS Instruments as Proxy Tide Gauges in a Tsunami Early-Detection Context","year":2015,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"GNSS positioning and interference","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"GNSS applications; Tide gauge; Context (archaeology); Proxy (statistics); Remote sensing; Geodesy; Geology; Environmental science; Global Positioning System; Computer science; Oceanography; Telecommunications; Sea level","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":[0.009528339,0.0007144432,0.0004384224,0.001142613,0.0005958345,0.002812969,0.0006510395,0.001240473,0.001579399],"category_scores_gemma":[0.02638715,0.0002187454,0.0004276223,0.001368612,0.000787296,0.002185124,0.001043557,0.0006915583,0.0003618787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008448348,"about_ca_system_score_gemma":0.0012942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007170681,"about_ca_topic_score_gemma":0.01265677,"domain_scores_codex":[0.9953015,0.003021667,0.0002339075,0.0004706187,0.0006783434,0.0002939986],"domain_scores_gemma":[0.9780585,0.01576288,0.001323582,0.0007012425,0.003497408,0.0006563658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008922878,0.001354365,0.7470856,0.0008730704,0.0005394869,0.00159781,0.001747824,0.08026094,0.02855343,0.006999273,0.001376978,0.1206884],"study_design_scores_gemma":[0.0005417589,0.009969876,0.6436438,0.000320206,0.001003645,0.0006732583,0.01035444,0.2984622,0.02118757,0.004003532,0.009694712,0.000145026],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881145,0.0004529052,0.003855397,0.0005033367,0.00004328402,0.00006925075,0.0003002389,0.00003403394,0.006627155],"genre_scores_gemma":[0.995644,0.0001748294,0.003485153,0.00003137462,0.00003072986,0.00001316186,0.0001867338,0.00001172643,0.0004222418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009528339,"threshold_uncertainty_score":0.05039126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03232001679782515,"score_gpt":0.2631792139207942,"score_spread":0.2308591971229691,"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."}}