{"id":"W2780821100","doi":"10.1016/j.rse.2017.12.011","title":"Quantifying the relative contributions of vegetation and soil moisture conditions to polarimetric C-Band SAR response in a temperate peatland","year":2017,"lang":"en","type":"article","venue":"Remote Sensing of Environment","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Science and Engineering Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Vegetation (pathology); Water content; Synthetic aperture radar; Remote sensing; Soil science; Peat; Moisture; Backscatter (email); Geology; Meteorology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001953326,0.0002101719,0.0001314419,0.0002856004,0.0001634204,0.0003097845,0.0001169851,0.0002012732,0.0003780458],"category_scores_gemma":[0.0003100563,0.0001349816,0.0001178113,0.0001791526,0.0002144299,0.0002267479,0.0001543656,0.00009458809,0.00006475712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002061107,"about_ca_system_score_gemma":0.0002276659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01351066,"about_ca_topic_score_gemma":0.02345124,"domain_scores_codex":[0.9999522,0.000008550869,0.000002510235,0.0000153521,0.000007357502,0.00001402221],"domain_scores_gemma":[0.9998922,0.00005113977,0.00001179932,0.000007252434,0.00001984846,0.00001768358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009707663,0.0002232608,0.3226437,0.00008365879,0.00009458308,0.0003064291,0.0003512692,0.02439773,0.6284954,0.0003006415,0.0001232277,0.02200937],"study_design_scores_gemma":[0.00001727406,0.00008941934,0.916696,0.000004788374,0.0000478898,0.0001124909,0.0002893478,0.06608902,0.0163716,0.0001286873,0.0001379062,0.00001556466],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996556,0.000009015123,0.0002037823,0.000002853263,4.323283e-7,0.000001124922,0.000016036,0.000003790197,0.0001072023],"genre_scores_gemma":[0.9996583,0.00001267237,0.0002128922,0.000003082234,7.936543e-7,0.000001320386,0.00003070599,0.000002147861,0.00007804718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01351066,"threshold_uncertainty_score":0.02686405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01731478456176441,"score_gpt":0.2708366530921596,"score_spread":0.2535218685303952,"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."}}