{"id":"W3169806388","doi":"10.1007/s00024-021-02763-6","title":"Gravity and Magnetic Processing and Inversion Over the Mahallat Geothermal System Using Open Source Resources in Python","year":2021,"lang":"en","type":"article","venue":"Pure and Applied Geophysics","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bouguer anomaly; Gravity anomaly; Geology; Magnetic anomaly; Residual; Free-air gravity anomaly; Geodesy; Geothermal gradient; Terrain; Geophysics; Density contrast; Geometry; Physics; Algorithm; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002183433,0.000144781,0.0002272604,0.00002226923,0.00029215,0.0002821193,0.0001173524,0.00006514884,0.00001669554],"category_scores_gemma":[0.000007211238,0.00009805927,0.00001746994,0.0003256917,0.0001109791,0.0001192684,0.0001190368,0.0001942214,0.00000352705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002974108,"about_ca_system_score_gemma":0.00002068004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001202129,"about_ca_topic_score_gemma":0.0002065962,"domain_scores_codex":[0.9990198,0.0001090956,0.0001325684,0.0003395425,0.0001464241,0.0002525407],"domain_scores_gemma":[0.9995842,0.0001398808,0.0000559698,0.0001110958,0.00001541053,0.00009345747],"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":[0.00007757957,0.00002635228,0.02531165,0.0002213716,0.000008204571,0.00001307386,0.001292228,0.000337537,0.001477123,0.0005150037,0.00000962284,0.9707103],"study_design_scores_gemma":[0.0007201073,0.00009539763,0.9298063,0.000100982,0.00006169459,0.00003327646,0.001374364,0.05245847,0.000374406,0.01253743,0.002089086,0.0003484611],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968104,0.001563842,0.00007102674,0.0001376061,0.00002214864,0.0001902737,0.000005880328,0.00001491755,0.001183922],"genre_scores_gemma":[0.9988852,0.00003710637,0.0006162528,0.000255337,0.0000962006,0.000001836464,0.000005881346,0.000005170648,0.00009706954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9703618,"threshold_uncertainty_score":0.3998741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01339633390036046,"score_gpt":0.2218116451768298,"score_spread":0.2084153112764693,"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."}}