{"id":"W3196629427","doi":"","title":"On the impact of the geospace environment on lithospheric processes","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Earthquake Detection and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earth's magnetic field; Geology; Southern Hemisphere; Geomagnetic storm; Geophysics; Magnetosphere; Northern Hemisphere; Storm; Footprint; Satellite; Seismology; Lithosphere; Atmospheric sciences; Climatology; Magnetic field; Tectonics; Paleontology; Oceanography; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001395672,0.000191809,0.0001967339,0.00004137467,0.0001855456,0.00004854798,0.0004822537,0.0001075171,0.004559001],"category_scores_gemma":[0.00007030052,0.0001077109,0.0003648813,0.0005041453,0.0001249458,0.00004526245,0.00007733972,0.0004061332,0.0001180845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002182303,"about_ca_system_score_gemma":0.0001433263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002646562,"about_ca_topic_score_gemma":0.001001482,"domain_scores_codex":[0.9989947,0.0001898944,0.0001061121,0.0004155322,0.0001249299,0.0001688431],"domain_scores_gemma":[0.9988302,0.0002320407,0.0002026104,0.0006292977,0.00003837966,0.00006745174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00003406663,0.00004231616,0.08672009,0.00002060174,0.0001286381,0.00001478094,0.0001018035,0.9122002,0.000002886304,0.0001243017,0.0001017125,0.000508584],"study_design_scores_gemma":[0.0002538296,0.0003440962,0.877817,0.0002103146,0.0002116477,0.000002832254,0.0009940278,0.1161956,0.0004412839,0.002730711,0.0003621607,0.0004364831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951468,0.0001104958,0.0003324547,0.0001317272,0.00009664305,0.0001424853,0.00005161957,0.00001641194,0.003971417],"genre_scores_gemma":[0.9971462,0.0004100629,0.000007339498,0.00008324635,0.00002419712,1.219775e-7,0.00001725291,0.000003577833,0.002307969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7960047,"threshold_uncertainty_score":0.9963509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03753560752125532,"score_gpt":0.1574328685514141,"score_spread":0.1198972610301588,"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."}}