{"id":"W2972262484","doi":"10.1016/j.rse.2019.111380","title":"The SMAP and Copernicus Sentinel 1A/B microwave active-passive high resolution surface soil moisture product","year":2019,"lang":"en","type":"article","venue":"Remote Sensing of Environment","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":324,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"NASA Headquarters; California Institute of Technology; Jet Propulsion Laboratory; Massachusetts Institute of Technology","keywords":"Remote sensing; Radiometer; Radar; Environmental science; Synthetic aperture radar; L band; Microwave imaging; Microwave radiometer; Microwave; Meteorology; Geology; Computer science; Physics; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0005434992,0.0005282898,0.0002239222,0.001034226,0.0001993321,0.0003682383,0.000500447,0.0004032906,0.004565496],"category_scores_gemma":[0.001509682,0.0002200121,0.0002540481,0.001532119,0.0001717203,0.0006757005,0.0004509713,0.0004232763,0.002731632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004058194,"about_ca_system_score_gemma":0.00072985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0118205,"about_ca_topic_score_gemma":0.01612275,"domain_scores_codex":[0.9996458,0.00003895972,0.00001718563,0.00008331444,0.000174669,0.00003998699],"domain_scores_gemma":[0.999122,0.00008978501,0.0001686987,0.0001539577,0.0003840389,0.0000816499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002405054,0.0003500844,0.1327658,0.001457128,0.0006240607,0.000443251,0.0002282633,0.04705421,0.1627051,0.005851094,0.2405379,0.4055781],"study_design_scores_gemma":[0.0003354127,0.0002808205,0.580033,0.0001403312,0.0002051653,0.0003968276,0.0001923849,0.08225915,0.03766298,0.00299804,0.2953275,0.0001685033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3456765,0.001614642,0.05022928,0.0009203391,0.0006470814,0.000554283,0.5257393,0.007054947,0.06756371],"genre_scores_gemma":[0.5402344,0.000983548,0.06600928,0.0006528603,0.0002055268,0.0007002545,0.3722688,0.0008561037,0.01808935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0118205,"threshold_uncertainty_score":0.02350336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005183438843909577,"score_gpt":0.1856366354353913,"score_spread":0.1804531965914818,"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."}}