{"id":"W1246568850","doi":"10.11728/cjss2008.05.370","title":"Progress for Spaceborne Microwave Remote Sensing in China","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geostationary orbit; Remote sensing; Satellite; Environmental science; Microwave; Meteorology; China; Meteorological satellite; Geography; Computer science; Aerospace engineering; Telecommunications; Engineering","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":[0.003009968,0.0006700133,0.0003266824,0.001075545,0.0003478818,0.0008266789,0.0004909117,0.0003524998,0.003563007],"category_scores_gemma":[0.001167635,0.0001396521,0.0003515029,0.001913585,0.0003847782,0.001539232,0.0007572608,0.0006642935,0.0006900507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001075971,"about_ca_system_score_gemma":0.002823282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01170504,"about_ca_topic_score_gemma":0.009503063,"domain_scores_codex":[0.9994287,0.0001201116,0.00003853945,0.0001359378,0.0002127591,0.00006401724],"domain_scores_gemma":[0.9988121,0.0002183708,0.0001337649,0.0001758455,0.0005574528,0.0001025075],"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":[0.0001373516,0.00005534482,0.03239764,0.001097566,0.0001058817,0.0001823223,0.0004060406,0.003494268,0.02804041,0.01598271,0.02047516,0.8976253],"study_design_scores_gemma":[0.00007276388,0.0004701657,0.1829708,0.0004739026,0.0002118488,0.0005610244,0.0007499076,0.01043212,0.02107668,0.005300725,0.7775999,0.000080143],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3763823,0.3181751,0.1266723,0.0276605,0.004263733,0.000389582,0.003678296,0.001851946,0.1409263],"genre_scores_gemma":[0.6929224,0.1678463,0.08682771,0.004123401,0.002966449,0.0002723098,0.005889395,0.000141416,0.03901076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01170504,"threshold_uncertainty_score":0.02327383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017832113555853,"score_gpt":0.2135422927016665,"score_spread":0.1957101791458135,"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."}}