{"id":"W2105009281","doi":"10.1029/2002rs002840","title":"Topside Ionogram Scaler With True Height Algorithm (TOPIST): Automated processing of ISIS topside ionograms","year":2004,"lang":"en","type":"article","venue":"Radio Science","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Goddard Space Flight Center; National Aeronautics and Space Administration","keywords":"Ionogram; Ionosphere; Computer science; Remote sensing; Electron density; Geology; Geophysics; Meteorology; Physics; Electron","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000724253,0.001094525,0.0004306427,0.002239217,0.0005345352,0.001521699,0.001145002,0.0003981336,0.01881689],"category_scores_gemma":[0.002269102,0.0004404293,0.0006865423,0.002389583,0.0002830388,0.001090318,0.001148927,0.0009227814,0.006886458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003678135,"about_ca_system_score_gemma":0.000966798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003657628,"about_ca_topic_score_gemma":0.005417853,"domain_scores_codex":[0.9996507,0.00002426757,0.00002807582,0.00005723509,0.000190932,0.00004871415],"domain_scores_gemma":[0.9993026,0.0001228261,0.00006972576,0.0001180259,0.0003480279,0.00003872102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008284847,0.00009593646,0.01068973,0.0004894997,0.0001803957,0.0007412805,0.0006612517,0.01017416,0.1173837,0.004705574,0.0989649,0.7550851],"study_design_scores_gemma":[0.0003492671,0.0003812244,0.03812314,0.0001310785,0.0002351392,0.00213206,0.001117135,0.420541,0.2839067,0.009502906,0.2432424,0.0003380006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04947371,0.0003440642,0.8379776,0.000195452,0.0002253319,0.0003661245,0.005412521,0.08904118,0.01696409],"genre_scores_gemma":[0.1022615,0.0003675276,0.8649194,0.0001592389,0.00008560222,0.0002849179,0.01313937,0.01020063,0.008581896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01881689,"threshold_uncertainty_score":0.06294876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003665655954249119,"score_gpt":0.2230521529559071,"score_spread":0.219386497001658,"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."}}