{"id":"W1984505848","doi":"10.1029/2003gl017645","title":"Validation of imaging Doppler interferometer winds using meteor radar","year":2003,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Meteor (satellite); Radar; Remote sensing; Geology; Interferometry; Meteoroid; Doppler effect; Observatory; Doppler radar; Geodesy; Meteorology; Physics; Computer science; Telecommunications; Optics; Astronomy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004126052,0.0001489097,0.0002172701,0.0000786981,0.0001271755,0.00006683335,0.0002127832,0.00002314268,0.0008231144],"category_scores_gemma":[0.00003429493,0.0001392372,0.0001466618,0.0004304129,0.0001921624,0.0002577217,0.00009120497,0.0003576012,0.00006841933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005153736,"about_ca_system_score_gemma":0.0000695009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005052287,"about_ca_topic_score_gemma":6.813955e-7,"domain_scores_codex":[0.9981733,0.0002700524,0.0002459272,0.0002918015,0.000484633,0.0005342868],"domain_scores_gemma":[0.999158,0.0001975124,0.00006930612,0.000312209,0.0001588754,0.0001040713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004292179,0.0002413916,0.006338047,0.00003002254,0.0001118527,0.000005675896,0.0002732042,0.0001973736,0.9527912,0.02690112,0.003382007,0.009685186],"study_design_scores_gemma":[0.003448287,0.0004177118,0.005414918,0.0001909592,0.000151632,0.000007444839,0.002132542,0.01299217,0.9173414,0.04414991,0.01232004,0.001432981],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9683841,0.00001109491,0.02578618,0.0002828335,0.0001317697,0.0001901368,0.00001212938,0.00001345837,0.005188316],"genre_scores_gemma":[0.9953555,4.306372e-7,0.004044011,0.00009562596,0.0002026999,0.0000126863,0.00002274129,0.00002727157,0.0002390366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0354498,"threshold_uncertainty_score":0.9012526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02624638637561325,"score_gpt":0.3066283310119974,"score_spread":0.2803819446363841,"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."}}