{"id":"W1605507308","doi":"10.1002/2015ja021304","title":"High‐latitude intermittent ionospheric scintillations: Exploring the Castaing distribution","year":2015,"lang":"en","type":"article","venue":"Journal of Geophysical Research Space Physics","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Forskningsrådet om Hälsa, Arbetsliv och Välfärd; New Brunswick Innovation Foundation","keywords":"Amplitude; Scintillation; SIGNAL (programming language); Ionosphere; Probability density function; Physics; Differential (mechanical device); Radio signal; Global Positioning System; Moment (physics); Geodesy; Computational physics; Mathematics; Statistical physics; Statistics; Geology; Geophysics; Optics; Computer science; Classical mechanics; Telecommunications; Radio frequency","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":[0.0009920553,0.0001958975,0.0003259516,0.00002428939,0.0003318076,0.0002277374,0.0004707953,0.0000295109,0.00004040264],"category_scores_gemma":[0.0001560784,0.0001357659,0.0002472185,0.0007742146,0.0002234132,0.0007504132,0.000256391,0.001014868,0.00008511625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002363354,"about_ca_system_score_gemma":0.000434768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008091359,"about_ca_topic_score_gemma":0.000008950869,"domain_scores_codex":[0.997474,0.0002591104,0.0004222272,0.0001957915,0.001113807,0.0005351305],"domain_scores_gemma":[0.9971303,0.0004216809,0.000298429,0.0003424333,0.001508327,0.0002987852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002983264,0.001294811,0.008932455,0.00004437207,0.00050442,0.00005123868,0.002923994,0.06887835,0.001224802,0.5948592,0.0269148,0.2940732],"study_design_scores_gemma":[0.005806709,0.003301452,0.05078579,0.0006754137,0.0003482411,0.00003939461,0.0333534,0.08861538,0.006169959,0.7341422,0.07517049,0.001591505],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9094564,0.00006315156,0.0869775,0.001714578,0.0006458774,0.0002425309,0.00001630398,0.0000148642,0.0008687763],"genre_scores_gemma":[0.9951572,0.00001463434,0.001322495,0.00001690091,0.002987229,0.00001989172,0.00001595956,0.0000265296,0.0004391932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2924817,"threshold_uncertainty_score":0.5536374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07347703508691211,"score_gpt":0.3297732745363677,"score_spread":0.2562962394494556,"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."}}