{"id":"W4391935776","doi":"10.1109/tgrs.2024.3367420","title":"GPS-Based Ionospheric Tomography From the Combination of PolSAR and E-CHAIM","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Geoscience and Remote Sensing","topic":"Earthquake Detection and Analysis","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Tomography; Ionosphere; Global Positioning System; Remote sensing; Geology; Geodesy; Computer science; Geophysics; Physics; Optics; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001854007,0.00008348957,0.00009328005,0.00010931,0.0003460026,0.0001122148,0.00004553778,0.00003992908,0.00006882085],"category_scores_gemma":[0.000004014873,0.00005535132,0.00006387718,0.0006959338,0.0002437123,0.0001235283,2.968547e-7,0.0001264769,0.000007482168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001697871,"about_ca_system_score_gemma":0.00002418187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005853821,"about_ca_topic_score_gemma":0.002200843,"domain_scores_codex":[0.9992985,0.0000535927,0.0001271777,0.0002248785,0.0001794342,0.000116397],"domain_scores_gemma":[0.9995543,0.0002358855,0.00002897369,0.0001013026,0.00002406293,0.00005543235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007143704,0.000004618087,0.0001363074,0.000007514147,0.0000124511,0.000002840066,0.0002001827,0.001106641,0.0005984391,0.000002687163,0.000004444861,0.9979168],"study_design_scores_gemma":[0.0001100282,0.00009180881,0.02870568,0.00009339144,0.00004841819,0.00001103423,0.0003504271,0.9661602,0.003521106,0.0004412862,0.0003683565,0.00009820488],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.614187,0.0005103823,0.3838684,0.0007798047,0.0003738451,0.00006108051,0.00003126956,0.00003956497,0.000148703],"genre_scores_gemma":[0.9964045,0.0001838041,0.00308821,0.0002201894,0.00001794737,1.356307e-8,0.000002835268,0.000002037589,0.00008041233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9978185,"threshold_uncertainty_score":0.8849266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009665942516788996,"score_gpt":0.2057175432036055,"score_spread":0.1960516006868165,"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."}}