{"id":"W1616645436","doi":"10.1029/2008rs004046","title":"Canadian High Arctic Ionospheric Network (CHAIN)","year":2009,"lang":"en","type":"article","venue":"Radio Science","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":212,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Western University; University of Alberta; University of New Brunswick","funders":"","keywords":"Ionosphere; Global Positioning System; Interplanetary scintillation; Arctic; Space weather; Remote sensing; Meteorology; Environmental science; Chain (unit); Computer science; Geography; Geology; Telecommunications; Physics; Solar wind; Geophysics; Astronomy; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000812583,0.0006872637,0.0003844702,0.001727611,0.002989955,0.001624205,0.001363148,0.0005143184,0.02509834],"category_scores_gemma":[0.002140475,0.0002334399,0.0002931707,0.003727849,0.000415491,0.0006103188,0.001179301,0.000726436,0.005931266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01250237,"about_ca_system_score_gemma":0.05822291,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9552873,"about_ca_topic_score_gemma":0.9707488,"domain_scores_codex":[0.999299,0.00004802559,0.00001946879,0.00009809655,0.0003465366,0.0001888761],"domain_scores_gemma":[0.9963806,0.00006995332,0.0001356452,0.0001582133,0.002809686,0.0004458901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000383389,0.00003260392,0.02750058,0.0003729098,0.00007468643,0.0001677107,0.000212156,0.001616639,0.0009711086,0.007157594,0.8668846,0.09462594],"study_design_scores_gemma":[0.00008721949,0.00003553295,0.05288083,0.000184162,0.00005068084,0.0001017301,0.0002946141,0.001688705,0.0007619524,0.0008381632,0.9430273,0.00004899224],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02690848,0.006280085,0.009833299,0.00641776,0.002034803,0.0008114352,0.5414996,0.00297381,0.4032407],"genre_scores_gemma":[0.2232192,0.009893734,0.0354873,0.003292063,0.0004841353,0.0007916813,0.4852394,0.001017391,0.2405751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04471272,"threshold_uncertainty_score":0.09071147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003293610512182147,"score_gpt":0.1952266995857404,"score_spread":0.1919330890735583,"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."}}