{"id":"W1515706716","doi":"10.1002/jgra.50231","title":"Constructing the frequency and wave normal distribution of whistler‐mode wave power","year":2013,"lang":"en","type":"article","venue":"Journal of Geophysical Research Space Physics","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency","keywords":"Physics; Computational physics; Magnetosphere; Wave propagation; Whistler; Wave power; Wavenumber; Optics; Plasma; Power (physics); Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003994657,0.0001711505,0.0003505115,0.00002058121,0.0002077262,0.0001121358,0.0002167618,0.00004874473,0.0002108425],"category_scores_gemma":[0.00007547013,0.0001166396,0.0002002681,0.0003325176,0.0005365091,0.0005145962,0.000171084,0.0009279687,0.00001962093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000664393,"about_ca_system_score_gemma":0.0002249562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001392236,"about_ca_topic_score_gemma":0.000007739676,"domain_scores_codex":[0.9981053,0.0001737218,0.0004001365,0.0001602593,0.0006988795,0.0004616483],"domain_scores_gemma":[0.997493,0.0005182187,0.0003663072,0.000252359,0.001191105,0.0001789532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009279027,0.0006175615,0.01305845,0.00006215691,0.0003289705,0.00001269082,0.001112784,0.00005155938,0.01562272,0.845585,0.005586689,0.1178686],"study_design_scores_gemma":[0.002850091,0.002123129,0.06839874,0.0003551543,0.0001826049,0.00005628147,0.01877634,0.02346221,0.01677835,0.8643239,0.001827326,0.0008659092],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766753,0.00005292438,0.01229188,0.001105589,0.0001339906,0.0002415154,0.00004973932,0.000004809551,0.009444284],"genre_scores_gemma":[0.9979566,0.00001267328,0.001015852,0.00001104782,0.0006526496,0.000007092841,0.00001476552,0.00001739991,0.0003119223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1170027,"threshold_uncertainty_score":0.4756424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0188323912757666,"score_gpt":0.2839816984718956,"score_spread":0.265149307196129,"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."}}