{"id":"W2109469982","doi":"10.5194/angeo-23-733-2005","title":"A statistical comparison of SuperDARN spectral width boundaries and DMSP particle precipitation boundaries in the morning sector ionosphere","year":2005,"lang":"en","type":"article","venue":"Annales Geophysicae","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Environment Research Council; La Trobe University; National Aeronautics and Space Administration; Air Force Research Laboratory; National Science Foundation","keywords":"Noon; Ionosphere; Latitude; Atmospheric sciences; Local time; Morning; Electron precipitation; Defense Meteorological Satellite Program; Geology; Geophysics; Physics; Environmental science; Geodesy; Magnetosphere; Magnetic field; Astronomy; Mathematics","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":[0.0001176621,0.0001733883,0.0002764958,0.00001078161,0.0002718043,0.0003206274,0.000137906,0.00003168162,0.0002528092],"category_scores_gemma":[0.00001253879,0.0001413327,0.00005872518,0.0001585845,0.0005411179,0.0003014908,0.00004018704,0.0001986267,0.00002738653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001517352,"about_ca_system_score_gemma":0.0001255304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006393151,"about_ca_topic_score_gemma":0.0009232414,"domain_scores_codex":[0.9988655,0.00008836218,0.0003268296,0.0002209503,0.0001929648,0.0003054235],"domain_scores_gemma":[0.9994229,0.0001763886,0.000110659,0.0001833623,0.00005828677,0.0000483665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001975833,0.0009872577,0.3109198,0.00007034752,0.0001163749,0.000002750644,0.03909242,0.001013667,0.001435118,0.5326629,0.003990391,0.1095115],"study_design_scores_gemma":[0.002356761,0.00111074,0.7340784,0.0001026555,0.0001882857,0.000003774295,0.0215635,0.05531338,0.004965449,0.07656866,0.1027976,0.0009507786],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951684,0.000272694,0.001950904,0.0004659108,0.00007823241,0.000204418,0.00005555324,0.00001802196,0.001785889],"genre_scores_gemma":[0.9973964,0.000003167597,0.00196135,0.00005942197,0.0002493392,0.00002546433,0.00007257651,0.00001518024,0.0002170806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4560942,"threshold_uncertainty_score":0.576338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120324551151181,"score_gpt":0.2607257838255737,"score_spread":0.2495225383140618,"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."}}