{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000559589,0.0001049638,0.0001192136,0.0000494181,0.00006126511,0.00005857204,0.00005952499,0.00008244512,0.00004756359],"category_scores_gemma":[0.00004808681,0.0001032294,0.00005859332,0.00007959222,0.00001506771,0.00008081584,0.000007916873,0.00006209158,0.000008724322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003932911,"about_ca_system_score_gemma":0.00005146849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006298997,"about_ca_topic_score_gemma":0.00005253483,"domain_scores_codex":[0.9994783,0.000007919164,0.0001088151,0.0001561496,0.00007512559,0.0001736955],"domain_scores_gemma":[0.9996348,0.00007960509,0.00002089182,0.0001363769,0.00008488029,0.00004344343],"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":[0.00001817969,0.00003365116,0.001671599,0.000102053,0.00003982228,4.139249e-7,0.001030004,0.9834875,0.006138414,0.00336031,0.003343435,0.0007746278],"study_design_scores_gemma":[0.0003644737,0.0000399998,0.0006211484,0.00006052343,0.0000196832,4.40635e-7,0.00003530883,0.9847021,0.0102253,0.003079724,0.0007182552,0.0001330204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07608703,0.00005556185,0.9218571,0.0005454135,0.0001279727,0.0001656186,0.0000328977,0.0001437782,0.0009845973],"genre_scores_gemma":[0.9398314,0.00000212551,0.05918726,0.00009924488,0.00006809784,0.0000878335,0.00002782014,0.00002747065,0.0006687329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8637444,"threshold_uncertainty_score":0.4209573,"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."}}