{"id":"W2146017854","doi":"10.1002/2013ja019238","title":"Estimates of the power per mode number of broadband ULF waves at geosynchronous orbit","year":2014,"lang":"en","type":"article","venue":"Journal of Geophysical Research Space Physics","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; National Oceanic and Atmospheric Administration; University of Alberta; European Social Fund; National Aeronautics and Space Administration","keywords":"Physics; Magnetosphere; Computational physics; Broadband; Phase (matter); Azimuth; Geosynchronous orbit; Magnetometer; Mode (computer interface); Wave power; Substorm; Wavenumber; Power (physics); Diffusion; Van Allen Probes; Range (aeronautics); Geophysics; Magnetic field; Satellite; Van Allen radiation belt; Optics; Computer science; Aerospace engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003409323,0.0003463145,0.0001440748,0.001094691,0.0001452919,0.0002106809,0.000236339,0.0002653057,0.0009023499],"category_scores_gemma":[0.00119705,0.0001540325,0.0001542423,0.00045402,0.0001533906,0.0004448718,0.0002806585,0.0002322373,0.0002085058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001811498,"about_ca_system_score_gemma":0.00006244631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008343267,"about_ca_topic_score_gemma":0.0008999762,"domain_scores_codex":[0.9999006,0.00001682768,0.000003957976,0.00003122865,0.00003476434,0.00001264802],"domain_scores_gemma":[0.9994893,0.0002449672,0.0001207538,0.00005290487,0.00006901393,0.00002314366],"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":[0.001073099,0.000146119,0.2942505,0.000227519,0.0002142784,0.0004483125,0.0006486915,0.08754829,0.408503,0.004640959,0.001149871,0.2011494],"study_design_scores_gemma":[0.00004177643,0.0002142637,0.5869008,0.00004727803,0.00007326058,0.0002863898,0.0001850368,0.3135485,0.09451985,0.001942511,0.002166777,0.00007355909],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9442936,0.0002126864,0.05213128,0.00004192727,0.000008900912,0.00001402884,0.0004591521,0.0002416253,0.002596735],"genre_scores_gemma":[0.9903717,0.00006814174,0.008961502,0.000005025776,0.000007725605,0.00001122394,0.0002604202,0.00003171146,0.0002825935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001094691,"threshold_uncertainty_score":0.003018677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01123028600093362,"score_gpt":0.3056536339576114,"score_spread":0.2944233479566778,"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."}}