{"id":"W4395452106","doi":"10.1016/j.srs.2024.100131","title":"Retrieving forest soil moisture from SMAP observations considering a microwave polarization difference index (MPDI) to τ-ω model","year":2024,"lang":"en","type":"article","venue":"Science of Remote Sensing","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; Korea Meteorological Administration; National Aeronautics and Space Administration; U.S. Department of Agriculture; California Institute of Technology; Ministry of Science, ICT and Future Planning; Jet Propulsion Laboratory; National Research Foundation","keywords":"Microwave; Environmental science; Polarization (electrochemistry); Water content; Index (typography); Remote sensing; Soil science; Physics; Geology; Computer science; Chemistry","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":[0.0001761991,0.0004901677,0.000187575,0.0002406619,0.0001489374,0.0004201094,0.000543551,0.0003305218,0.0005110464],"category_scores_gemma":[0.0003451749,0.0001779379,0.0005079756,0.0003253688,0.0001237674,0.0004254672,0.0002327081,0.0003476329,0.0002570111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003594488,"about_ca_system_score_gemma":0.0004749366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01679398,"about_ca_topic_score_gemma":0.00936752,"domain_scores_codex":[0.999925,0.00001175469,0.000004010707,0.00003041147,0.00001520682,0.00001352253],"domain_scores_gemma":[0.9999373,0.00001831576,0.00001046838,0.000007827975,0.00001975041,0.000006226405],"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":[0.0000594233,0.00007099554,0.01021996,0.00006046329,0.00006997182,0.00009263487,0.0000358695,0.929111,0.011357,0.001040981,0.0007609613,0.04712075],"study_design_scores_gemma":[0.00000450107,0.00000890669,0.001651017,0.000002518431,0.000007642796,0.00001098615,0.000004116446,0.9971716,0.0006845006,0.0001736371,0.0002764096,0.000004247051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5059938,0.0006509746,0.4851993,0.0002413595,0.00012194,0.0001028497,0.001074712,0.001259212,0.005355877],"genre_scores_gemma":[0.9645871,0.0003622488,0.03230487,0.00004665296,0.0000347245,0.00008097353,0.0007547879,0.00004114487,0.001787498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01679398,"threshold_uncertainty_score":0.03339243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02138627453054657,"score_gpt":0.2364709525176341,"score_spread":0.2150846779870876,"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."}}