{"id":"W3049586136","doi":"","title":"Probing disturbances over canadian ionosphere using advance data analysis of wave decomposition","year":2016,"lang":"en","type":"article","venue":"41st COSPAR Scientific Assembly","topic":"Earthquake Detection and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ionosphere; Decomposition; Remote sensing; Environmental science; Econometrics; Meteorology; Computer science; Climatology; Geology; Geophysics; Mathematics; Geography; Chemistry","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":[0.0003113149,0.0004118271,0.0002362876,0.001629902,0.001022384,0.0007669894,0.0004326632,0.0002602455,0.00148582],"category_scores_gemma":[0.0008967838,0.0001731136,0.0002638273,0.002696859,0.0002948671,0.0003539857,0.0004227224,0.0004041597,0.0002586892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003331247,"about_ca_system_score_gemma":0.006848868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.951283,"about_ca_topic_score_gemma":0.9756356,"domain_scores_codex":[0.9997546,0.00001047178,0.000008816657,0.00004363199,0.0001002143,0.00008220352],"domain_scores_gemma":[0.9991174,0.00004994202,0.00006515731,0.00005310747,0.0006194393,0.00009492617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000941318,0.0002705223,0.7189175,0.0001616335,0.0003011336,0.0003819558,0.001089253,0.03886766,0.0497138,0.001529208,0.01619921,0.1716268],"study_design_scores_gemma":[0.00004521083,0.00002692293,0.9627435,0.00001432334,0.00005780094,0.00004249291,0.0003844929,0.02735209,0.002777131,0.000118797,0.006393751,0.00004363826],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796606,0.0003031154,0.003185721,0.0002826564,0.0000426326,0.00005148651,0.009962158,0.0002360019,0.006275632],"genre_scores_gemma":[0.9857017,0.0002235856,0.004601649,0.00004126616,0.00001756038,0.00001899177,0.007179188,0.00003769558,0.002178512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04871696,"threshold_uncertainty_score":0.09800768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04742007392441369,"score_gpt":0.266073097940052,"score_spread":0.2186530240156383,"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."}}