{"id":"W1558994404","doi":"10.4401/ag-3282","title":"A revised method to extract thermospheric parameters from incoherent scatter observations","year":2004,"lang":"en","type":"article","venue":"Annals of Geophysics","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; National Institute of Polar Research; Max-Planck-Gesellschaft; Massachusetts Institute of Technology","keywords":"Incoherent scatter; Thermosphere; Aeronomy; Ionosphere; F region; Computational physics; Physics; Atmospheric sciences; Exosphere; Flux (metallurgy); Plasma; Atmosphere (unit); Radar; Ion; Geophysics; Meteorology; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001060564,0.0002394129,0.0003544523,0.0000122697,0.00007779413,0.00004356571,0.0002945836,0.00004887291,0.0003646016],"category_scores_gemma":[0.000006529778,0.0002306347,0.0002518964,0.0003614512,0.00003463704,0.0002142017,0.00008027809,0.000149321,0.0001479263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000139153,"about_ca_system_score_gemma":0.00009731193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003965434,"about_ca_topic_score_gemma":0.00002239819,"domain_scores_codex":[0.9987264,0.00005375181,0.0003749084,0.0003196854,0.0002048826,0.0003203326],"domain_scores_gemma":[0.9988873,0.0001079653,0.0002093483,0.0004769255,0.0001855229,0.0001329357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001917409,0.002043036,0.01293361,0.00006268876,0.001002675,0.000005906358,0.002755551,0.04030327,0.03375849,0.07025884,0.007243145,0.8294411],"study_design_scores_gemma":[0.002831627,0.0009423945,0.1574478,0.0004514744,0.0003296261,6.257742e-7,0.001491936,0.002011738,0.08570658,0.7211288,0.02556789,0.002089464],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8189325,0.00004624068,0.1764801,0.001229752,0.0001228115,0.0003521727,0.0001158101,0.00003310454,0.002687484],"genre_scores_gemma":[0.8793612,0.000005727527,0.1180216,0.001785433,0.0002354289,0.00006113554,0.0001322007,0.00004196494,0.0003554222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8273516,"threshold_uncertainty_score":0.940501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0425670577574172,"score_gpt":0.3041169482316378,"score_spread":0.2615498904742206,"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."}}