{"id":"W2165614810","doi":"10.5194/angeo-20-661-2002","title":"Seasonal variations of the semi-diurnal and diurnal tides in the MLT: multi-year MF radar observations from 2–70° N, modelled tides (GSWM, CMAM)","year":2002,"lang":"en","type":"article","venue":"Annales Geophysicae","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Toronto; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; University of Saskatchewan; National Science Foundation","keywords":"Equator; Forcing (mathematics); Atmospheric model; Wave model; Climatology; Atmospheric sciences; Environmental science; Latitude; Diurnal cycle; Middle latitudes; Atmospheric tide; Geology; Meteorology; Oceanography; Geography; Geodesy; Ionosphere; Geophysics; Thermosphere","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001012536,0.0002004566,0.0002339286,0.00001791448,0.0002788383,0.00007398269,0.000365866,0.00004612778,0.0003090916],"category_scores_gemma":[0.00001275497,0.0001370308,0.0001721549,0.0003002076,0.0001317048,0.0002508208,0.00009494346,0.0003032397,0.00002752454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001280633,"about_ca_system_score_gemma":0.00005050008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001460192,"about_ca_topic_score_gemma":0.0002378825,"domain_scores_codex":[0.9988238,0.0001203324,0.0003146479,0.0002332057,0.0002526187,0.0002554027],"domain_scores_gemma":[0.9990629,0.0002443734,0.0001894194,0.0003477658,0.0001033521,0.00005219008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001341587,0.005090051,0.6135104,0.00008065913,0.001160977,0.00001042131,0.02232417,0.0181108,0.01257382,0.2704827,0.02209643,0.03442549],"study_design_scores_gemma":[0.002113704,0.00009003453,0.6236146,0.0001149993,0.0002053744,0.000002224178,0.002370682,0.3306864,0.0003886108,0.03534481,0.004556652,0.0005119136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925328,0.0002382357,0.003219074,0.001164914,0.00008865769,0.0002531379,0.0002680865,0.00001360702,0.002221473],"genre_scores_gemma":[0.9964392,0.00003768467,0.001713914,0.000208309,0.0003368215,0.00002764514,0.0000616976,0.00001894874,0.001155827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3125756,"threshold_uncertainty_score":0.5587954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02175584252576452,"score_gpt":0.213691124957756,"score_spread":0.1919352824319915,"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."}}