{"id":"W2887380648","doi":"10.22323/1.301.0077","title":"The influence of geomagnetic activity on the subauroral mesopause temperature over Yakutia","year":2017,"lang":"en","type":"article","venue":"Proceedings of 35th International Cosmic Ray Conference — PoS(ICRC2017)","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Russian Foundation for Basic Research","keywords":"Mesopause; Earth's magnetic field; Atmospheric sciences; Correlation coefficient; Environmental science; Atmospheric temperature; Meteorology; Mathematics; Physics; Mesosphere; Statistics; Stratosphere; Magnetic field","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":[0.0001480419,0.0001361073,0.000271248,0.0004888796,0.0002630193,0.0005054022,0.0001786319,0.0001757265,0.0007612577],"category_scores_gemma":[0.0002977625,0.0001238366,0.0002062059,0.0005747925,0.0002246744,0.0001832156,0.0003030413,0.0001742636,0.0001570243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006137611,"about_ca_system_score_gemma":0.0003578581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04048275,"about_ca_topic_score_gemma":0.06252885,"domain_scores_codex":[0.9998971,0.00001342215,0.00000625019,0.00002853486,0.00001618664,0.0000384763],"domain_scores_gemma":[0.9998072,0.00004204263,0.00004622644,0.00001372663,0.00004934675,0.00004153634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002608298,0.00003089037,0.9845143,0.00002653643,0.00006427303,0.0003138468,0.0002797357,0.000904516,0.008332299,0.00005818841,0.0001300212,0.005084517],"study_design_scores_gemma":[0.000001254377,0.00001018954,0.9995075,0.000001056054,0.000006469224,0.00001633768,0.00005068518,0.0002319467,0.0001022141,0.000003318531,0.00006788115,0.000001124207],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994912,0.00005133176,0.00002898011,0.000008634433,0.000002728101,0.000001095481,0.0001322914,0.000003563358,0.0002801386],"genre_scores_gemma":[0.9995741,0.00003653896,0.00002324807,0.000002077177,0.000005607778,0.000001372502,0.0001859196,0.000001377989,0.0001698151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04048275,"threshold_uncertainty_score":0.08049423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01062561175808778,"score_gpt":0.2501340633915916,"score_spread":0.2395084516335038,"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."}}