{"id":"W2151484977","doi":"10.5539/mas.v7n6p1","title":"Generation of Seismic-Related DC Electric Fields and Lithosphere-Atmosphere-Ionosphere Coupling","year":2013,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Earthquake Detection and Analysis","field":"Earth and Planetary Sciences","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ionosphere; Electric field; Atmosphere (unit); Geophysics; Lithosphere; Coupling (piping); Ionospheric heater; Atmospheric sciences; Electromagnetic field; Physics; Field (mathematics); Geology; Computational physics; Meteorology; Materials science; Seismology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003365608,0.0001242944,0.0001718312,0.00003257483,0.0003302834,0.000142544,0.0002116766,0.00006783748,0.001994715],"category_scores_gemma":[0.00002176279,0.0001052077,0.00003693163,0.0009059443,0.0001917214,0.0003007324,0.00001601827,0.0001438296,0.0001450341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005634301,"about_ca_system_score_gemma":0.00006968658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001356502,"about_ca_topic_score_gemma":0.0003780813,"domain_scores_codex":[0.9986871,0.00001139714,0.0002685194,0.0003915775,0.0003507064,0.0002906993],"domain_scores_gemma":[0.9994092,0.00004029921,0.0001176018,0.0002010882,0.00008773393,0.0001440905],"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":[0.00001406975,0.00003717457,0.0690715,0.00002420693,0.00003283237,0.000001542198,0.0007544771,0.2760185,0.2470587,0.0003754134,0.0001954561,0.4064161],"study_design_scores_gemma":[0.000133276,0.00002794604,0.05636829,0.000003842201,0.00001058339,0.000003174895,0.00008835608,0.9329683,0.008797642,0.001437153,0.00003298993,0.0001284388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684539,0.0003629676,0.0224216,0.00009753188,0.00006391724,0.0001584173,0.000001408784,0.00004510905,0.008395079],"genre_scores_gemma":[0.9983504,0.00005438474,0.0009945761,0.0001657958,0.0000286001,0.000002993275,0.000005874451,0.000003207034,0.0003941722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6569498,"threshold_uncertainty_score":0.9989176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376905648675689,"score_gpt":0.1980433212443764,"score_spread":0.1842742647576195,"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."}}