{"id":"W4406630015","doi":"10.1029/2024sw004194","title":"EclipseNB: A Network of Low‐Cost GNSS Receivers to Study the Ionosphere","year":2025,"lang":"en","type":"article","venue":"Space Weather","topic":"GNSS positioning and interference","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Dalhousie University","keywords":"GNSS applications; Ionosphere; Computer science; Geodesy; Telecommunications; Global Positioning System; Geography; Geology; Geophysics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005556346,0.0003876357,0.0002606184,0.0005858414,0.000288858,0.0004073879,0.0004921059,0.0002098037,0.001241163],"category_scores_gemma":[0.0004410402,0.000156829,0.0001135967,0.0006242284,0.0002202921,0.0002244425,0.000490892,0.0002083006,0.000493574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007547451,"about_ca_system_score_gemma":0.001304197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0545892,"about_ca_topic_score_gemma":0.1293701,"domain_scores_codex":[0.9997509,0.00003562593,0.000006906982,0.00004724668,0.0001058509,0.00005345873],"domain_scores_gemma":[0.9996186,0.0000354298,0.00005296129,0.00007494954,0.0001631483,0.00005487182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002350639,0.0004619486,0.3501796,0.0002529898,0.0002584517,0.0005119561,0.0003088966,0.09655926,0.2547835,0.004425186,0.01386663,0.2760409],"study_design_scores_gemma":[0.001229551,0.002389321,0.512801,0.0001223425,0.0002754521,0.0008543638,0.0005678216,0.2628271,0.1015804,0.001254623,0.1159535,0.0001444713],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8562827,0.0003770363,0.1084023,0.0001429832,0.00009851204,0.0003930296,0.004132737,0.001806183,0.0283645],"genre_scores_gemma":[0.9189564,0.000203317,0.06403298,0.0000910227,0.00003317727,0.0002095942,0.006957964,0.00009536924,0.009420132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0545892,"threshold_uncertainty_score":0.1085429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007466957281952114,"score_gpt":0.2318135893416339,"score_spread":0.2243466320596818,"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."}}