{"id":"W2013436844","doi":"10.1029/2010sw000603","title":"New Chains of Space Weather Monitoring Stations in China","year":2010,"lang":"en","type":"article","venue":"Space Weather","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":193,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Space weather; Meteorology; Space (punctuation); Environmental science; Remote sensing; Geography; Climatology; Computer science; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001475147,0.0008700396,0.0004861129,0.003446803,0.00136795,0.001033216,0.000928326,0.000408335,0.0039464],"category_scores_gemma":[0.001140448,0.0005641085,0.0004111293,0.008357921,0.0003274488,0.001347405,0.001459435,0.0006345514,0.0008181725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002319834,"about_ca_system_score_gemma":0.005472494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08694448,"about_ca_topic_score_gemma":0.07147767,"domain_scores_codex":[0.9986277,0.00009833918,0.0001624011,0.0003985663,0.0005441675,0.000168884],"domain_scores_gemma":[0.9982717,0.00007567085,0.0002192666,0.0002452608,0.0008414555,0.0003465112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000341038,0.0002421945,0.7094228,0.0004135937,0.000254333,0.0008547871,0.001719856,0.007066707,0.01098153,0.004033328,0.02339222,0.2412774],"study_design_scores_gemma":[0.0001880274,0.000186532,0.8299732,0.00009147099,0.0002656686,0.0003147857,0.0008143314,0.02576623,0.003779694,0.00107626,0.1374377,0.0001061141],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9227325,0.002932634,0.01435421,0.001448384,0.0005803452,0.001132269,0.02019071,0.00107728,0.03555171],"genre_scores_gemma":[0.9027683,0.001879998,0.01957357,0.0004283497,0.0003817426,0.0009302666,0.04676523,0.00006736467,0.02720526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08694448,"threshold_uncertainty_score":0.1728768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004041362902233753,"score_gpt":0.2267125855506446,"score_spread":0.2226712226484109,"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."}}