{"id":"W2008060341","doi":"10.1029/2004sw000116","title":"Near‐Real‐Time Auroral Electrojet Index: An International Collaboration Makes Rapid Delivery of Auroral Electrojet Index","year":2004,"lang":"en","type":"article","venue":"Space Weather","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electrojet; Index (typography); Physics; Environmental science; Computer science; Earth's magnetic field; Magnetic field; World Wide Web","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":[0.004007417,0.0004029434,0.000287146,0.002062038,0.0004751466,0.001966504,0.0004553014,0.000479675,0.003773963],"category_scores_gemma":[0.002908105,0.0001558857,0.0001906433,0.00283902,0.0002194571,0.001930862,0.001558613,0.000528593,0.002303486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005337467,"about_ca_system_score_gemma":0.001998098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002207637,"about_ca_topic_score_gemma":0.001804003,"domain_scores_codex":[0.9986678,0.0002589598,0.0001357641,0.0003222223,0.0004988148,0.0001164721],"domain_scores_gemma":[0.9955425,0.0002066811,0.0006111885,0.0004422107,0.002420629,0.0007768371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003886262,0.0002203783,0.1438838,0.0003404875,0.00008719644,0.0002923714,0.0009181065,0.001265969,0.02870493,0.00459799,0.0573354,0.7619647],"study_design_scores_gemma":[0.0001030453,0.0007169743,0.412079,0.0003180779,0.0001819658,0.001074627,0.002013777,0.01016324,0.0292022,0.004186485,0.5398267,0.0001339505],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5775964,0.01972445,0.1174518,0.01388764,0.003998478,0.00113452,0.02167852,0.00504576,0.2394824],"genre_scores_gemma":[0.8047696,0.005995071,0.1077194,0.0008391386,0.001071611,0.0004865346,0.0208413,0.0006807694,0.05759666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004007417,"threshold_uncertainty_score":0.0211935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003573046554827877,"score_gpt":0.2225936588332534,"score_spread":0.2190206122784256,"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."}}