{"id":"W3126829483","doi":"10.1029/2021ja029205","title":"The Relationship Between Large Scale Thermospheric Density Enhancements and the Spatial Distribution of Poynting Flux","year":2021,"lang":"en","type":"article","venue":"Journal of Geophysical Research Space Physics","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Poynting vector; Physics; Magnetosphere; Mesoscale meteorology; Computational physics; Atmospheric sciences; Geophysics; Meteorology; Magnetic field","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":[0.001376737,0.0001300109,0.0003252451,0.000005542343,0.0006626988,0.0001218944,0.0002606447,0.00003988693,0.00002386795],"category_scores_gemma":[0.0003426337,0.00007890358,0.000216499,0.0004432781,0.0004122743,0.0001911101,0.0002592282,0.0008377441,0.000009329321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004103936,"about_ca_system_score_gemma":0.0002602703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002884023,"about_ca_topic_score_gemma":0.00003070271,"domain_scores_codex":[0.997779,0.0005246428,0.00038552,0.0001519199,0.0007616307,0.0003973554],"domain_scores_gemma":[0.9954741,0.002835235,0.000369438,0.000277911,0.0009413724,0.0001019241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005550488,0.000747533,0.4638254,0.00007086041,0.0004827055,0.000008104547,0.001506629,0.00008263728,0.003486416,0.4364301,0.001828057,0.09097659],"study_design_scores_gemma":[0.002890196,0.0002477554,0.7059191,0.0001328863,0.0001533024,0.000002420658,0.003128407,0.003564785,0.007677492,0.2741365,0.001934283,0.0002128585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9410051,0.0001184264,0.05667805,0.00101453,0.00009230286,0.0001517869,0.00002526106,0.000002974372,0.0009115477],"genre_scores_gemma":[0.9978171,0.00001968893,0.0001905688,0.000007465357,0.001008163,0.000004620307,0.00002826917,0.0000134096,0.0009107373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2420937,"threshold_uncertainty_score":0.509701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02216615677129601,"score_gpt":0.3120788006436237,"score_spread":0.2899126438723277,"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."}}