{"id":"W3090760027","doi":"10.5194/egusphere-egu2020-2515","title":"Real-time earthquake hazard assessment based on high-rate GNSS PPPAR","year":2020,"lang":"en","type":"article","venue":"","topic":"GNSS positioning and interference","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"GNSS applications; Computer science; Real-time computing; Satellite system; Global Positioning System; Ambiguity resolution; GNSS augmentation; Precise Point Positioning; Seismometer; Telecommunications; Geology; Seismology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006282303,0.0001298279,0.0001354953,0.00002984443,0.00003882833,0.00005886481,0.0001041795,0.00004685912,0.001120357],"category_scores_gemma":[0.000009546271,0.0001198658,0.00004191622,0.00009189975,0.00001176107,0.00006095084,0.00001200547,0.0001404596,0.001349675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003420187,"about_ca_system_score_gemma":0.00001801973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002362781,"about_ca_topic_score_gemma":0.000002401541,"domain_scores_codex":[0.9993651,0.00002910342,0.0001413719,0.0001673797,0.0001182853,0.0001787642],"domain_scores_gemma":[0.9996373,0.00004556072,0.00001324159,0.0001628591,0.00002386663,0.0001171399],"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":[0.00006218163,0.0001222036,0.0006410093,0.0001453066,0.0001015699,0.00003913964,0.0002708397,0.6923655,0.1778588,0.01141588,0.1135681,0.00340944],"study_design_scores_gemma":[0.0003466548,0.0003113515,0.01659689,0.00005397105,0.00001106834,5.220152e-7,0.00001196337,0.9535474,0.02712132,0.00004848179,0.001722323,0.0002280753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5849534,0.000004148759,0.02363362,0.002076941,0.0002527518,0.0001353271,0.00002185319,0.001409252,0.3875127],"genre_scores_gemma":[0.9946583,0.000006140743,0.004008457,0.0005932611,0.00007704929,0.000011692,0.00002803235,0.00002478437,0.0005923205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4097048,"threshold_uncertainty_score":0.9997928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198319081285202,"score_gpt":0.221188645664418,"score_spread":0.209205454851566,"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."}}