{"id":"W2787845270","doi":"10.1038/s41467-018-06396-7","title":"Remote sensing of geomagnetic fields and atomic collisions in the mesosphere","year":2018,"lang":"en","type":"article","venue":"Nature Communications","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Office of Naval Research; Office of Naval Research Global; Natural Sciences and Engineering Research Council of Canada","keywords":"Earth's magnetic field; Physics; Mesosphere; Geophysics; Larmor precession; Magnetic field; Ionosphere; Precession; Computational physics; Remote sensing; Geology; Atmospheric sciences; Astronomy; Stratosphere","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":[0.0001168677,0.0001354425,0.0001188464,0.0003327435,0.0001907506,0.0001488443,0.000216518,0.0002087115,0.0004813197],"category_scores_gemma":[0.0002135118,0.0000837406,0.00007498339,0.0002135244,0.0001979708,0.0001960002,0.0003204822,0.0002164726,0.00009965093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001549144,"about_ca_system_score_gemma":0.0001610106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00274717,"about_ca_topic_score_gemma":0.005370968,"domain_scores_codex":[0.9999516,0.000006479991,0.000001294397,0.0000161784,0.00001793042,0.00000659518],"domain_scores_gemma":[0.9998835,0.00002609046,0.00003776391,0.00001372713,0.00001821628,0.00002059637],"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":[0.0002558503,0.00007477734,0.1707148,0.00003374711,0.00005728098,0.0001941516,0.000201437,0.004329752,0.8043399,0.0006053474,0.0002294327,0.0189635],"study_design_scores_gemma":[0.00009078771,0.0002873497,0.8252682,0.00001703189,0.00005137456,0.0002892087,0.0002353406,0.05326429,0.1175954,0.0009140362,0.001955491,0.00003159347],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969092,0.0001054666,0.001696275,0.00003718759,0.000003743915,0.000004902163,0.0001230688,0.00006302831,0.00105707],"genre_scores_gemma":[0.9987113,0.00002321129,0.001122911,0.000007419048,0.000002783107,0.000001936602,0.00004203875,0.000002544795,0.00008588697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00274717,"threshold_uncertainty_score":0.005462348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196221732082854,"score_gpt":0.3279553649994149,"score_spread":0.3083331917911294,"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."}}