{"id":"W2914748536","doi":"10.1007/s11214-018-0576-4","title":"The Space Physics Environment Data Analysis System (SPEDAS)","year":2019,"lang":"en","type":"review","venue":"Space Science Reviews","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":552,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Los Alamos National Laboratory; National Centers for Environmental Information; National Oceanic and Atmospheric Administration; Ministry of Science and Technology, Taiwan; Japan Society for the Promotion of Science; European Space Agency; National Aeronautics and Space Administration; Japan Aerospace Exploration Agency; U.S. Department of Defense; Deutsches Zentrum für Luft- und Raumfahrt; National Science Foundation","keywords":"Space physics; Planetary science; Physics; Space (punctuation); Astronomy; Astrobiology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002966817,0.0007384201,0.002768988,0.00006637352,0.0007281916,0.0005251932,0.004432865,0.0000980262,0.000229331],"category_scores_gemma":[0.00002604163,0.0004252712,0.001186036,0.002645941,0.0004996534,0.0004540628,0.00153854,0.0005311532,0.00360366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002922773,"about_ca_system_score_gemma":0.0008032861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001330747,"about_ca_topic_score_gemma":0.00001554311,"domain_scores_codex":[0.995559,0.0003385987,0.0009539911,0.001526487,0.0007412061,0.0008806902],"domain_scores_gemma":[0.9923849,0.0001967338,0.001430717,0.005720281,0.00005054741,0.0002168374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[3.422521e-7,0.0000238807,0.00001304456,0.002283413,0.0002726805,5.185548e-7,0.00001526452,0.00003362038,1.850943e-7,0.03035426,0.002386819,0.964616],"study_design_scores_gemma":[0.00004116879,0.00001513209,7.311836e-7,0.001858389,0.004908812,0.000001129453,0.0001151492,0.002029375,2.065462e-7,0.00004204009,0.9905015,0.0004864233],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[1.20532e-7,0.9585918,0.02149341,0.00004585391,0.0007615502,0.002007684,0.0001901913,0.00002859961,0.01688082],"genre_scores_gemma":[0.000003797155,0.9879984,0.002020947,0.000008100262,0.0006242652,0.0001229383,0.0003446239,0.0000473968,0.008829523],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9881146,"threshold_uncertainty_score":0.9998199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06192262413114929,"score_gpt":0.3338539340058195,"score_spread":0.2719313098746702,"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."}}