{"id":"W4302356540","doi":"10.1002/essoar.10512197.1","title":"Turbulence signatures in high--latitude ionospheric scintillation","year":2022,"lang":"en","type":"preprint","venue":"","topic":"GNSS positioning and interference","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; New Brunswick Innovation Foundation","keywords":"Interplanetary scintillation; Physics; Scintillation; Turbulence; Ionosphere; Amplitude; Computational physics; Statistical physics; Plasma; Geophysics; Optics; Meteorology; Solar wind; Quantum mechanics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008768154,0.000189094,0.0001892646,0.0001026057,0.00003867556,0.00006886412,0.0002575045,0.0001611375,0.002133409],"category_scores_gemma":[0.00001378053,0.0002019366,0.00004750294,0.0001529815,0.00001581358,0.0000669505,0.0002224565,0.0008631097,0.000028721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002035761,"about_ca_system_score_gemma":0.00002496504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003304917,"about_ca_topic_score_gemma":0.00003699888,"domain_scores_codex":[0.9991226,0.0000281613,0.0002362086,0.0002691949,0.0001701391,0.0001736641],"domain_scores_gemma":[0.9996118,0.00003153691,0.00003502617,0.0002670608,0.00002264761,0.00003192089],"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":[0.000001678204,0.00001089344,0.0004234878,0.00007208054,0.00001258067,0.000002314333,0.0001601931,0.9954404,0.0001114858,0.001023761,0.002298816,0.0004422944],"study_design_scores_gemma":[0.0001343863,0.00002413742,0.0272066,0.0002260268,0.00001081864,9.931028e-7,0.0000474431,0.9678562,0.0006280995,0.002535344,0.0009043509,0.000425569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9193295,0.001764997,0.01605298,0.0001124787,0.003408623,0.0003929453,0.00002602012,0.001054829,0.05785761],"genre_scores_gemma":[0.9942657,0.0001274197,0.004755262,0.00004001179,0.00006576555,0.00006612462,0.00003435622,0.00002684635,0.0006184952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0749362,"threshold_uncertainty_score":0.9987788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008376232027216976,"score_gpt":0.2168852375343988,"score_spread":0.2085090055071818,"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."}}