{"id":"W1586341875","doi":"10.1029/2009gc002471","title":"EMAG2: A 2–arc min resolution Earth Magnetic Anomaly Grid compiled from satellite, airborne, and marine magnetic measurements","year":2009,"lang":"en","type":"article","venue":"Geochemistry Geophysics Geosystems","topic":"Geomagnetism and Paleomagnetism Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":680,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; Petro Geotech (Canada)","funders":"Los Alamos National Laboratory; British Antarctic Survey; Office of Naval Research; Raunvísindastofnun, Háskóli Íslands; Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ; Norges Geologiske Undersøkelse; Nationale Geologiske Undersøgelser for Danmark og Grønland; Jet Propulsion Laboratory; U.S. Navy; U.S. Geological Survey; National Oceanic and Atmospheric Administration; Lamont-Doherty Earth Observatory, Columbia University; Institut Français de Recherche pour l'Exploitation de la Mer; National Geospatial-Intelligence Agency; National Institute of Polar Research; University of Texas at Austin; Rice University; University of the Ryukyus; Institut de Physique du Globe de Paris; Chiba University; University of Cape Town; Sveriges Geologiska Undersökning; University of California, San Diego; Deutsches Zentrum für Luft- und Raumfahrt; British Geological Survey; King Saud University; Bundesministerium für Bildung und Forschung; Istituto Nazionale di Geofisica e Vulcanologia; University of Miami; U.S. Department of Energy; Department of Scientific and Industrial Research, Ministry of Science and Technology, India; Háskóli Íslands; Tennessee Valley Authority; Purdue University; Oregon State University; National Science Foundation","keywords":"Geology; Satellite; Magnetic anomaly; Geoid; Anomaly (physics); Geodesy; Grid; Extrapolation; Remote sensing; Geophysics; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002507157,0.0006833426,0.0006240376,0.00006108589,0.0002860267,0.0001340004,0.0004135504,0.0003526849,0.0001428552],"category_scores_gemma":[0.00006553419,0.0007339242,0.0001903467,0.000250925,0.0002087915,0.00001936828,0.0003165323,0.0002512014,0.00007604656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002066531,"about_ca_system_score_gemma":0.00008112741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007418998,"about_ca_topic_score_gemma":0.0003559545,"domain_scores_codex":[0.9965702,0.000146289,0.0006810909,0.001199032,0.0005416786,0.0008617057],"domain_scores_gemma":[0.9981045,0.00003768999,0.0002571348,0.001024648,0.0002636884,0.0003123113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003155351,0.0003233583,0.02252295,0.0002260106,0.0001156971,0.00004383294,0.0001568795,0.00002459156,0.9401564,0.00002351734,0.003298059,0.03279315],"study_design_scores_gemma":[0.004810856,0.003208244,0.8507438,0.0002621461,0.0003505509,0.0001362378,0.0002978013,0.0004660449,0.09398357,0.001210086,0.04248483,0.002045857],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653156,0.02208928,0.00003964583,0.0002377792,0.0003759777,0.0005937183,0.0003767078,0.00008101816,0.01089031],"genre_scores_gemma":[0.9906856,0.001189133,0.001093781,0.0002469295,0.001317876,0.00006848753,0.00189268,0.00004550506,0.003459942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8461729,"threshold_uncertainty_score":0.9995112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009934238534646388,"score_gpt":0.2024877864868646,"score_spread":0.1925535479522182,"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."}}