{"id":"W1998071015","doi":"10.1175/jhm525.1","title":"A Global Root-Zone Soil Moisture Analysis Using Simulated L-band Brightness Temperature in Preparation for the Hydros Satellite Mission","year":2006,"lang":"en","type":"article","venue":"Journal of Hydrometeorology","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Space Agency","keywords":"Environmental science; Data assimilation; Water content; Satellite; Biosphere; Meteorology; Brightness temperature; Remote sensing; Biosphere model; Atmospheric sciences; Microwave; Geology; Geography; Computer science; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002460726,0.0002769502,0.000211866,0.0002352834,0.0001922625,0.0002443886,0.0002468478,0.0002139559,0.0008757072],"category_scores_gemma":[0.0003540432,0.0001088393,0.0003249414,0.0001859513,0.0001456715,0.0002737911,0.0002134481,0.0001685603,0.0001824057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002743118,"about_ca_system_score_gemma":0.0003538944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009196049,"about_ca_topic_score_gemma":0.009039485,"domain_scores_codex":[0.9999297,0.00001629898,0.000003151612,0.00002369701,0.000018484,0.00000871176],"domain_scores_gemma":[0.9998754,0.00002866956,0.00001357691,0.00002812148,0.00003905807,0.00001512834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008694245,0.0002406321,0.08876259,0.000127338,0.000214671,0.0002336347,0.0002339446,0.6414946,0.1945695,0.0006308378,0.002208667,0.07041428],"study_design_scores_gemma":[0.00009547095,0.0001626437,0.05982373,0.000005327441,0.00002831532,0.00001739416,0.0000523929,0.9063862,0.03233257,0.0001947438,0.0008788225,0.00002237476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840299,0.00002144025,0.01285872,0.00003759509,0.00001255048,0.00002919603,0.000962752,0.0007107231,0.001337018],"genre_scores_gemma":[0.9904391,0.00000721026,0.008559191,0.000009043157,0.000003009946,0.00001258809,0.0006627397,0.00005497266,0.0002522312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009196049,"threshold_uncertainty_score":0.01828504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007012460193365162,"score_gpt":0.260033294378209,"score_spread":0.2530208341848438,"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."}}