{"id":"W2346531044","doi":"10.11728/cjss2002.02.136","title":"神舟2号大气密度探测器的探测结果(I)日照和阴影区域热层大气密度变化","year":2002,"lang":"zh","type":"article","venue":"Canadian Journal of Soil Science","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thermosphere; Environmental science; Atmospheric temperature; Orbiter; Earth's magnetic field; Atmospheric sciences; Circular orbit; Altitude (triangle); Density of air; Atmospheric sounding; Physics; Orbit (dynamics); Meteorology; Ionosphere; Astronomy; Geometry; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002333756,0.0003050306,0.0001794451,0.0005866851,0.0004390382,0.0008824399,0.0002998021,0.0003074947,0.01115279],"category_scores_gemma":[0.0003105167,0.0001708668,0.0003646372,0.000923137,0.0003598142,0.0005696157,0.0003080725,0.0002999064,0.002709593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005072305,"about_ca_system_score_gemma":0.0003897235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008548792,"about_ca_topic_score_gemma":0.006327378,"domain_scores_codex":[0.9997267,0.00002415914,0.00001136769,0.00008563853,0.0001147373,0.00003740364],"domain_scores_gemma":[0.9998589,0.00001801771,0.00002086596,0.0000152617,0.00007623321,0.00001073119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006186203,0.0001692004,0.1595672,0.001227697,0.0002874405,0.001144414,0.001407974,0.02043245,0.2124855,0.04888842,0.03508243,0.5186886],"study_design_scores_gemma":[0.0001073731,0.0004866682,0.3622108,0.0001379306,0.000292111,0.002643174,0.002023476,0.1272728,0.1876404,0.02230759,0.2945811,0.0002966039],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5459284,0.004483475,0.2058391,0.001288933,0.001716699,0.0002269858,0.007494494,0.003113977,0.229908],"genre_scores_gemma":[0.9277036,0.00125105,0.02036968,0.0001974258,0.0001792448,0.00005992184,0.002124674,0.000112676,0.04800179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01115279,"threshold_uncertainty_score":0.03730983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462860628455247,"score_gpt":0.1977170376706623,"score_spread":0.1830884313861098,"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."}}