{"id":"W2942228876","doi":"10.1109/jstars.2019.2909437","title":"Comparison of Compact and Fully Polarimetric SAR for Multitemporal Wetland Monitoring","year":2019,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Canadian Space Agency","keywords":"Remote sensing; Synthetic aperture radar; Change detection; Wetland; Environmental science; Swamp; Polarimetry; Marsh; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002585616,0.0000848014,0.0002389352,0.0001324374,0.00006387237,0.00002843621,0.00004980015,0.00004986703,0.000003311306],"category_scores_gemma":[0.0000194513,0.00007414861,0.00002335723,0.0003614307,0.00003356319,0.00009131898,0.00001704529,0.0001527453,3.62966e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003559032,"about_ca_system_score_gemma":0.00001640808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003018312,"about_ca_topic_score_gemma":0.000129625,"domain_scores_codex":[0.9991945,0.00001757811,0.0003606792,0.0001059463,0.0001904896,0.0001307942],"domain_scores_gemma":[0.9995122,0.00007291133,0.000256176,0.0000695486,0.00004711942,0.00004207534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006214893,0.00005705925,0.7421818,0.00006590926,0.0000410398,0.000001460365,0.0004543359,0.006485607,0.1624971,0.00005440973,0.00008840721,0.08801075],"study_design_scores_gemma":[0.001049301,0.0001465226,0.9229282,0.00007297508,0.00003043911,0.000005005372,0.0002184069,0.06050829,0.01259672,0.0002294809,0.002104578,0.0001101059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941323,0.00009539389,0.004905706,0.000119331,0.000170365,0.0002298286,0.000001176356,0.000004323196,0.0003415668],"genre_scores_gemma":[0.9163489,0.00007839074,0.08342845,0.00001173163,0.00006304537,1.451632e-8,0.000001346212,0.000006190223,0.00006197084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1807464,"threshold_uncertainty_score":0.3023693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0335765413228025,"score_gpt":0.2883511189521987,"score_spread":0.2547745776293962,"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."}}