{"id":"W2982568102","doi":"10.1007/978-3-030-26732-2_9","title":"Spherical Cap Harmonic Analysis Techniques for Mapping High-Latitude Ionospheric Plasma Flow—Application to the Swarm Satellite Mission","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Ionosphere; Satellite; High latitude; Spherical harmonics; Latitude; Geodesy; Plasma; Swarm behaviour; Remote sensing; Harmonic; Geophysics; Aerospace engineering; Geology; Physics; Computer science; Engineering; Acoustics","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":[0.0001151412,0.0004933002,0.0001911836,0.0005780165,0.0002274401,0.0005907912,0.0003813024,0.0002748624,0.004571099],"category_scores_gemma":[0.0002745916,0.0001489455,0.0002982981,0.0009955168,0.000155941,0.0003850875,0.0002967824,0.0003568145,0.001566135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001707881,"about_ca_system_score_gemma":0.00018464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003297023,"about_ca_topic_score_gemma":0.005561269,"domain_scores_codex":[0.9999483,0.00000659126,0.000001571293,0.000008917753,0.00002995065,0.000004778416],"domain_scores_gemma":[0.9999205,0.00003017677,0.000005747195,0.00000958793,0.00003069103,0.000003431859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005973331,0.00003478091,0.001113634,0.0001602536,0.00005210529,0.0001578167,0.0002030267,0.03954066,0.07101283,0.01020758,0.02203263,0.8554249],"study_design_scores_gemma":[0.00001394815,0.00009982805,0.01412025,0.00003924825,0.00005786317,0.0006729413,0.000253344,0.8104302,0.03761347,0.01468406,0.121955,0.00005992205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01480855,0.002126003,0.9529603,0.0001213774,0.0001990928,0.0000433942,0.0004677349,0.001910743,0.02736281],"genre_scores_gemma":[0.1817122,0.006050804,0.7452369,0.0001252879,0.0003661005,0.00009499362,0.001965434,0.001492572,0.06295568],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004571099,"threshold_uncertainty_score":0.01529187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009455640144954165,"score_gpt":0.2274295741520979,"score_spread":0.2179739340071438,"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."}}