{"id":"W3045188720","doi":"10.1007/1345_2020_115","title":"Progress in GTEWS Ground Displacement Measurements and Tsunami Warning","year":2020,"lang":"en","type":"book-chapter","venue":"International Association of Geodesy symposia","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"GNSS applications; Warning system; Geodetic datum; Global Positioning System; Early warning system; Satellite system; Computer science; Telecommunications; Remote sensing; Systems engineering; Real-time computing; Geography; Geodesy; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003898075,0.0002003832,0.0003120687,0.0001438512,0.00005814858,0.00005555587,0.0001715174,0.0001466517,0.0006647224],"category_scores_gemma":[0.00006949312,0.0001950796,0.00008060501,0.00003484478,0.00004557695,0.0001300763,0.00003568671,0.0002192863,0.00006596598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009236585,"about_ca_system_score_gemma":0.00004668525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002495418,"about_ca_topic_score_gemma":0.00182996,"domain_scores_codex":[0.9982261,0.00003269864,0.0004501958,0.0002987851,0.0008313498,0.0001608903],"domain_scores_gemma":[0.9990219,0.0001541074,0.0005518433,0.00007116932,0.0001474861,0.00005348611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004647111,0.00001358371,0.9779491,0.00003229002,0.0004197528,0.000007196727,0.0003052991,0.00008053856,0.000003524455,0.004139467,0.0003698517,0.0166329],"study_design_scores_gemma":[0.0008479446,0.0001431282,0.9366813,0.0003033792,0.0000683211,0.000002560363,0.00003756944,0.001110914,0.00001071845,0.002802631,0.05767287,0.0003186337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06707865,0.007179934,0.00002118121,0.006416169,0.001515919,0.0007931533,0.0005002125,0.00007500013,0.9164198],"genre_scores_gemma":[0.9627479,0.0005733213,0.0001308212,0.0001576598,0.0001525259,0.000003776411,0.0003454594,0.000009456498,0.03587903],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8956693,"threshold_uncertainty_score":0.7955117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02209025351899047,"score_gpt":0.2327423975225855,"score_spread":0.210652144003595,"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."}}