{"id":"W3180131604","doi":"10.1051/swsc/2021029","title":"Statistics of large impulsive magnetic events in the auroral zone","year":2021,"lang":"en","type":"preprint","venue":"Journal of Space Weather and Space Climate","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University; Hydro-Québec; University of Calgary","funders":"","keywords":"Earth's magnetic field; Geomagnetically induced current; Magnetometer; Midnight; Geophysics; Geomagnetic storm; Ionosphere; Local time; Geodesy; Geology; Physics; Meteorology; Atmospheric sciences; Magnetic field; Mathematics; Astronomy; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005464783,0.0002888643,0.0006571913,0.00005717895,0.00005602431,0.00006301833,0.0002971347,0.00011923,0.0004780869],"category_scores_gemma":[0.00001201871,0.0002116254,0.0002155729,0.0001193801,0.0000589998,0.0000898955,0.0002951845,0.0008106207,0.000002510753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000262217,"about_ca_system_score_gemma":0.0001716071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002827121,"about_ca_topic_score_gemma":0.0002178627,"domain_scores_codex":[0.9983939,0.0001621251,0.0005710956,0.0002013639,0.0003134284,0.0003581224],"domain_scores_gemma":[0.9984677,0.0001129477,0.0008103718,0.0002889019,0.0002394935,0.00008056172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007497338,0.003713776,0.8568204,0.002004741,0.001104169,0.0005278952,0.02941568,0.003777028,0.00177648,0.07238627,0.005359199,0.02236464],"study_design_scores_gemma":[0.01722132,0.0042645,0.6750651,0.005334545,0.002692715,0.0002143617,0.2050894,0.01623664,0.0006609979,0.05243118,0.01735148,0.003437768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820644,0.002005477,0.01197511,0.0007299304,0.0003938316,0.0002815517,0.0003954864,0.000003515706,0.00215067],"genre_scores_gemma":[0.9929412,0.0008188555,0.005218083,0.0000509597,0.000192645,0.000005367774,0.00003769642,0.0000332278,0.0007019491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1817553,"threshold_uncertainty_score":0.8629834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005541489857694438,"score_gpt":0.248856167799817,"score_spread":0.2433146779421226,"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."}}