{"id":"W2610759600","doi":"","title":"Statistical Analyses of Ionospheric Storms Over 50 Years In Japan","year":2014,"lang":"en","type":"article","venue":"Japan Geoscience Union","topic":"Earthquake Detection and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Digital Payment Technologies (Canada)","funders":"","keywords":"Storm; Ionosphere; Geology; Meteorology; Statistical analysis; Climatology; Geography; Geophysics; Statistics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001125896,0.0002950086,0.0004446851,0.001592436,0.0005601942,0.0006478315,0.0002499977,0.000220721,0.0004367295],"category_scores_gemma":[0.002052733,0.0001975006,0.0007577101,0.001892444,0.0003684417,0.0003851341,0.0005714578,0.0002709218,0.00008956149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004659951,"about_ca_system_score_gemma":0.0008105348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02644384,"about_ca_topic_score_gemma":0.03064388,"domain_scores_codex":[0.9993105,0.0001028227,0.0001277297,0.0002198689,0.000108887,0.000130239],"domain_scores_gemma":[0.9977841,0.0004796424,0.0007692895,0.0001525236,0.0004585448,0.0003558751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001351778,0.00001239031,0.9966435,0.00001144235,0.0001977229,0.00008564744,0.0001705704,0.0002926156,0.0004022326,0.00001866629,0.0001546983,0.001875176],"study_design_scores_gemma":[0.000001877763,0.00002434233,0.9989908,0.000001405572,0.00005661138,0.0000372565,0.0002710803,0.0003989531,0.00005353365,0.000009118125,0.0001512872,0.000003685563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990991,0.0001668602,0.0001223263,0.00002115261,0.000008763562,0.000002256381,0.0004417966,0.000004256868,0.0001335006],"genre_scores_gemma":[0.9986787,0.0000968961,0.00007467497,0.000009643034,0.00001817104,0.000005526038,0.0009898985,0.00000303303,0.0001232922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02644384,"threshold_uncertainty_score":0.05257982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01563193046824914,"score_gpt":0.2564337116662426,"score_spread":0.2408017811979935,"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."}}