{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004288827,0.0003294506,0.0002411047,0.0005246378,0.0002042637,0.0006896684,0.0005423909,0.0003346906,0.001662926],"category_scores_gemma":[0.0007444322,0.0001616435,0.0003114203,0.0008495593,0.0001304852,0.0004718456,0.0003530473,0.0004060519,0.0004391843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001195263,"about_ca_system_score_gemma":0.0005488181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1759721,"about_ca_topic_score_gemma":0.2287239,"domain_scores_codex":[0.9998763,0.000013586,0.000007025395,0.00003556583,0.00004587175,0.0000216563],"domain_scores_gemma":[0.9997657,0.00001973488,0.00005452067,0.00002448638,0.00008348352,0.00005224803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001265558,0.0002844594,0.7867926,0.0002652887,0.0004787113,0.0005193811,0.0006234175,0.1040898,0.03559952,0.0004710845,0.01571207,0.05389802],"study_design_scores_gemma":[0.00007131828,0.00004303326,0.9520236,0.00001269653,0.00004435358,0.00005216797,0.0000778881,0.04312659,0.002340228,0.00006193604,0.002120759,0.000025418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791311,0.0001369555,0.001438805,0.0001028022,0.00001850964,0.00001972209,0.01708975,0.0002925521,0.00176978],"genre_scores_gemma":[0.9849567,0.00005384048,0.002044809,0.000021825,0.00001234161,0.00001950752,0.0121452,0.00004597357,0.00069988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1759721,"threshold_uncertainty_score":0.3498958,"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."}}