{"id":"W2135664314","doi":"10.5194/angeo-32-889-2014","title":"Effects of cold electron number density variation on whistler-mode wave growth","year":2014,"lang":"en","type":"article","venue":"Annales Geophysicae","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Specialized Research Fund for the Doctoral Program of Higher Education of China; National Science Foundation","keywords":"Whistler; Physics; Electron density; Electron; Wavenumber; Amplitude; Plasma; Nonlinear system; Growth rate; Computational physics; Atomic physics; Optics; Quantum mechanics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004316383,0.0004923659,0.0002832515,0.0003414086,0.000277582,0.000486417,0.0002635228,0.0003360082,0.001022172],"category_scores_gemma":[0.003020839,0.0001822072,0.0003388281,0.0002478484,0.0004423798,0.0005568025,0.0004529182,0.0004459896,0.0001638245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003005808,"about_ca_system_score_gemma":0.0001653862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003844468,"about_ca_topic_score_gemma":0.001964513,"domain_scores_codex":[0.9998821,0.00003180596,0.000005540252,0.00002218395,0.00002376559,0.00003472231],"domain_scores_gemma":[0.9977432,0.001592196,0.0002130909,0.0001339584,0.0001771725,0.0001401999],"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":[0.001838177,0.0001709159,0.0791574,0.0002491124,0.0001842668,0.001466864,0.0004359909,0.4502048,0.4464637,0.003662426,0.0008981535,0.01526816],"study_design_scores_gemma":[0.00006499298,0.0003992565,0.0694887,0.00003016436,0.00006826162,0.0002367737,0.0002241096,0.7569347,0.1702166,0.00130421,0.0009534668,0.00007882652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959579,0.0001295952,0.001822663,0.00005495225,0.000008693606,0.000007071155,0.0001302094,0.00007750138,0.001811452],"genre_scores_gemma":[0.9994313,0.00003592021,0.0002548824,0.00000694747,0.000002043507,0.000003367372,0.00005672559,0.00001678005,0.0001920694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003844468,"threshold_uncertainty_score":0.007644176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002961818480475862,"score_gpt":0.2018993757694222,"score_spread":0.1989375572889464,"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."}}