{"id":"W4413920410","doi":"10.1016/j.eqs.2025.06.006","title":"Basic processing of the InSight seismic data from Mars for further seismological research","year":2025,"lang":"en","type":"article","venue":"Earthquake Science","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Nautical Research Society; National Key Research and Development Program of China; Peking University; Eidgenössische Technische Hochschule Zürich; Jet Propulsion Laboratory; Society of Surgical Oncology; National Aeronautics and Space Administration; National Natural Science Foundation of China; Incorporated Research Institutions for Seismology; Centre National d’Etudes Spatiales; Institute of Geophysics, China Earthquake Administration","keywords":"Mars Exploration Program; Geology; Seismology; Data processing; Astrobiology; Earth science; Geophysics; Computer science; Database; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001161085,0.00005673794,0.0000809017,0.00007400823,0.0004556845,0.0001029276,0.001220815,0.00001789419,0.00004027224],"category_scores_gemma":[0.00006598482,0.00003584327,0.00002085607,0.001055791,0.0006904875,0.0006180528,0.0002933876,0.0001218514,0.00003455227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000727352,"about_ca_system_score_gemma":0.0004817151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002369559,"about_ca_topic_score_gemma":0.00002129334,"domain_scores_codex":[0.9988523,0.00005476005,0.0001328443,0.0003595833,0.0003519246,0.0002485948],"domain_scores_gemma":[0.9991536,0.0001275289,0.00004796284,0.0005210942,0.0001175214,0.00003236375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00007146561,0.0002405622,0.192928,0.000030452,0.00002179725,9.091233e-7,0.003286162,0.003478479,0.03185147,0.01057936,0.008937134,0.7485742],"study_design_scores_gemma":[0.0005909135,0.00009194134,0.5044992,0.0001766251,0.00002007544,4.39414e-7,0.002532064,0.3082,0.01805969,0.08028647,0.08528367,0.0002588877],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786261,0.00005467128,0.01563559,0.002543709,0.0002039516,0.000252544,0.0001503734,0.000007867094,0.002525211],"genre_scores_gemma":[0.99852,7.430032e-7,0.0006240322,0.000178306,0.00005799386,0.000007646565,0.00006864344,0.00000167028,0.0005409864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7483153,"threshold_uncertainty_score":0.3504803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09964525098189779,"score_gpt":0.3451132150767238,"score_spread":0.245467964094826,"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."}}