{"id":"W4389276211","doi":"10.46620/ursigass.2023.0254.sdhn8514","title":"Understanding Multi-scale Ionospheric Physics Using A Ground-based Distributed Array Of Instruments.","year":2023,"lang":"en","type":"article","venue":"","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Ionosphere; Scale (ratio); Computer science; Remote sensing; Aerospace engineering; Physics; Astronomy; Geology; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003074578,0.0004649276,0.0003499273,0.0003501549,0.0004550456,0.0009461557,0.001001272,0.0005423186,0.001980047],"category_scores_gemma":[0.001252583,0.0003429154,0.000448949,0.0005362335,0.0004842284,0.001947911,0.001403446,0.001245079,0.0003182204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004230048,"about_ca_system_score_gemma":0.0008578484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004875494,"about_ca_topic_score_gemma":0.005451816,"domain_scores_codex":[0.9998864,0.00002341798,0.000003816283,0.00003145742,0.00003315968,0.00002176958],"domain_scores_gemma":[0.9997273,0.00008293516,0.00003628342,0.0000571986,0.0000528114,0.00004347877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002278763,0.0003453373,0.02971952,0.0002416765,0.0004473325,0.0005022831,0.0004643313,0.7752083,0.08556283,0.02928919,0.009227253,0.06876405],"study_design_scores_gemma":[0.00005862289,0.00003611741,0.007905843,0.00001250689,0.00003581639,0.00006719674,0.0001161706,0.9647289,0.002790295,0.02191602,0.002309834,0.00002270453],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3177274,0.001390377,0.6535451,0.002032297,0.0003835581,0.000123836,0.00115368,0.005022288,0.01862149],"genre_scores_gemma":[0.9311793,0.0003877586,0.06633832,0.0001663341,0.0000705296,0.00004836074,0.0005250829,0.000274924,0.001009413],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004875494,"threshold_uncertainty_score":0.009694219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1410343187710635,"score_gpt":0.3040892385753504,"score_spread":0.1630549198042869,"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."}}