{"id":"W2120276728","doi":"10.5194/adgeo-1-73-2003","title":"CHAMP gravity field recovery using the energy balance approach","year":2003,"lang":"en","type":"article","venue":"Advances in geosciences","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ","keywords":"Gravitational field; Accelerometer; Geodesy; Satellite; Gravity of Earth; Field (mathematics); Calibration; Position (finance); Energy balance; Computation; Physics; Geology; Computer science; Classical mechanics; Mathematics; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002156533,0.0004198692,0.0004944458,0.00106292,0.0003677688,0.000538726,0.0005160548,0.0004475728,0.003896542],"category_scores_gemma":[0.0008981828,0.0002120155,0.0002646294,0.0005631955,0.0002331812,0.0007804307,0.0006139015,0.0004017774,0.000750678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003473622,"about_ca_system_score_gemma":0.0005439895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007385689,"about_ca_topic_score_gemma":0.007272928,"domain_scores_codex":[0.9999067,0.00001519058,0.000004724992,0.00001590933,0.00004680304,0.00001057385],"domain_scores_gemma":[0.9998481,0.00004041689,0.00001887364,0.00002130802,0.00006328252,0.000007959013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002384505,0.0001037947,0.004008815,0.0001315906,0.00009840408,0.000211113,0.0001543499,0.4935806,0.01500078,0.0247055,0.005005521,0.456761],"study_design_scores_gemma":[0.00001621555,0.00001308515,0.0009820318,0.000006159145,0.000005685109,0.00003176529,0.00001663401,0.9907442,0.001966464,0.004023348,0.002183607,0.00001082354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1467426,0.0003230732,0.8305832,0.0004437207,0.0000925572,0.00009919753,0.0004723161,0.002733863,0.0185095],"genre_scores_gemma":[0.7451608,0.0002154972,0.2380948,0.0001150415,0.00005931677,0.0001426175,0.0009129947,0.0004093708,0.01488961],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007385689,"threshold_uncertainty_score":0.01468545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006544297230807414,"score_gpt":0.2354833186395422,"score_spread":0.2289390214087348,"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."}}