{"id":"W3172467123","doi":"10.1029/2020sw002710","title":"A Bayesian Inference‐Based Empirical Model for Scintillation Indices for High‐Latitude","year":2021,"lang":"en","type":"article","venue":"Space Weather","topic":"GNSS positioning and interference","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Canadian Space Agency","keywords":"Interplanetary scintillation; Solar wind; Interplanetary magnetic field; Scintillation; Earth's magnetic field; Geodesy; Physics; Environmental science; Meteorology; Geology; Coronal mass ejection; Magnetic field; Optics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.008569278,0.001214357,0.001895892,0.002048826,0.001020142,0.002408694,0.003505297,0.002201983,0.003899597],"category_scores_gemma":[0.01900799,0.001376407,0.001646498,0.00138308,0.002238526,0.002432493,0.001033952,0.002977211,0.001232913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002371901,"about_ca_system_score_gemma":0.001789093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02351365,"about_ca_topic_score_gemma":0.01714468,"domain_scores_codex":[0.9976742,0.00104202,0.00009740175,0.0005876318,0.0003490938,0.0002497592],"domain_scores_gemma":[0.9859591,0.0111469,0.001304566,0.0004659301,0.0008997807,0.0002238696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002510918,0.0001292133,0.01103977,0.00006197109,0.0001365669,0.0001480124,0.0002238887,0.9376116,0.0006952268,0.0324032,0.001105309,0.01619408],"study_design_scores_gemma":[0.00003188984,0.00002083607,0.001642322,0.000024151,0.00002045213,0.00003780608,0.00001582714,0.9879133,0.0001036801,0.009990484,0.0001809041,0.00001828623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1939783,0.0003910488,0.7991037,0.00126631,0.0000469218,0.0002116316,0.001086874,0.0004735844,0.003441664],"genre_scores_gemma":[0.9354418,0.0005156463,0.05339131,0.000249811,0.0001222599,0.0006499767,0.002184589,0.0001005243,0.007344159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02351365,"threshold_uncertainty_score":0.04675359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03504418366603483,"score_gpt":0.3048565184263503,"score_spread":0.2698123347603154,"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."}}