{"id":"W4295747980","doi":"10.1186/s40623-022-01691-6","title":"Geomagnetic data from the GOCE satellite mission","year":2022,"lang":"en","type":"article","venue":"Earth Planets and Space","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada; Smithsonian Astrophysical Observatory; European Space Agency","keywords":"Earth's magnetic field; Magnetometer; Geodesy; Satellite; Remote sensing; Geophysics; Geology; Calibration; Geomagnetic storm; Magnetic field; Residual; Physics; Computer science; Algorithm","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002866266,0.00009421349,0.00009174521,0.00001255452,0.0005047452,0.00008527051,0.0003669656,0.00001739129,0.003983862],"category_scores_gemma":[0.00001291361,0.00006308634,0.00001252505,0.00008032754,0.0000351769,0.00007503167,0.00008822122,0.00017301,0.000176579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":5.96636e-7,"about_ca_system_score_gemma":0.00002532273,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01001063,"about_ca_topic_score_gemma":0.003824347,"domain_scores_codex":[0.9989992,0.0001082801,0.00008759312,0.0002768851,0.0003331704,0.0001949161],"domain_scores_gemma":[0.9993219,0.0001322019,0.00004288529,0.0004071287,0.000006915471,0.00008901628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008517878,0.00003291363,0.8433427,0.000008164272,0.00003547315,0.00005362307,0.0006255296,0.001151987,0.0002136331,0.00005546934,0.02965559,0.1247397],"study_design_scores_gemma":[0.0001171676,0.0000598304,0.5821265,0.00000269732,0.000008315624,0.000005568875,0.0001187688,0.00337954,0.000004198049,0.0002507652,0.413857,0.00006967543],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836346,0.0070165,0.000004345643,0.002829161,0.0003709442,0.0001656011,0.001968524,0.0000205412,0.003989768],"genre_scores_gemma":[0.9949292,0.0002320894,0.0001336982,0.0006141265,0.0001116383,2.571691e-7,0.002610015,0.000002515925,0.001366462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3842013,"threshold_uncertainty_score":0.9969266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04362457609962027,"score_gpt":0.2170898300807271,"score_spread":0.1734652539811068,"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."}}