{"id":"W2736497160","doi":"10.1002/2016ja023758","title":"Identifying the 630 nm auroral arc emission height: A comparison of the triangulation, FAC profile, and electron density methods","year":2017,"lang":"en","type":"article","venue":"Journal of Geophysical Research Space Physics","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Science Foundation of Sri Lanka; European Space Agency; Canadian Space Agency; University of Calgary; National Science Foundation","keywords":"Observatory; Electron density; Sky; Line (geometry); Emission spectrum; Radar; Altitude (triangle); Triangulation; Physics; Geodesy; Remote sensing; Electron precipitation; Electron; Optics; Astrophysics; Geology; Geography; Astronomy; Spectral line; Computer science; Plasma; Mathematics; Magnetosphere; Geometry; Telecommunications; Cartography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013349,0.0001772904,0.0004531989,0.00002277391,0.001111056,0.0002630797,0.0007741059,0.00005403452,0.00002331635],"category_scores_gemma":[0.0002280584,0.0001003849,0.0002997818,0.0002294107,0.0004686955,0.0003993558,0.0004582316,0.001186164,0.000003924069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004661686,"about_ca_system_score_gemma":0.0002763213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005046776,"about_ca_topic_score_gemma":0.00001571322,"domain_scores_codex":[0.9975267,0.0006016504,0.0004160533,0.0001940833,0.0008502307,0.0004112771],"domain_scores_gemma":[0.9971163,0.0005248103,0.000866105,0.0006036504,0.0007505078,0.0001385955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001013303,0.001843283,0.1446743,0.0002097903,0.0007530021,0.000006922211,0.005466719,0.0002646813,0.2677714,0.1963648,0.009018724,0.3726131],"study_design_scores_gemma":[0.002099118,0.0008269803,0.4125964,0.000324861,0.0002326138,0.000004935063,0.002729491,0.02847056,0.2120245,0.3375235,0.002751787,0.0004152475],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738349,0.0001140535,0.0224497,0.001763762,0.0001952385,0.0003464287,0.00000583517,0.000004041673,0.001285993],"genre_scores_gemma":[0.9954234,0.00001090105,0.002487201,0.000008112581,0.0008209888,0.000004988123,0.000001885037,0.00001897875,0.001223492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3721978,"threshold_uncertainty_score":0.8545456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06436713651215653,"score_gpt":0.4429467894634982,"score_spread":0.3785796529513417,"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."}}