{"id":"W4285411473","doi":"10.1109/jstars.2022.3190311","title":"Using the Pauli Scattering Mechanisms for Analysis of Polarimetric SAR Images from RADARSAT Constellation and TanDEM-X Missions","year":2022,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Space Agency","keywords":"Polarimetry; Coherence (philosophical gambling strategy); Scattering; Pauli exclusion principle; Computer science; Remote sensing; Physics; Synthetic aperture radar; Algorithm; Optics; Artificial intelligence; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0005005717,0.0005188776,0.0002104973,0.0006856482,0.0002543654,0.0005936283,0.0002636844,0.0002266279,0.0006262953],"category_scores_gemma":[0.001081752,0.0002714813,0.0004048947,0.0005831103,0.0003443497,0.0008493621,0.0003728998,0.0003825794,0.0002888536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002849004,"about_ca_system_score_gemma":0.000471869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00118724,"about_ca_topic_score_gemma":0.002079947,"domain_scores_codex":[0.9998368,0.00003394258,0.000008503994,0.00002909835,0.00008121748,0.00001045543],"domain_scores_gemma":[0.999703,0.0001291817,0.00004939127,0.0000440458,0.00006549449,0.000008905352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001118655,0.00008752154,0.009982003,0.0004010322,0.0001671429,0.0002993926,0.0006254868,0.264218,0.1970709,0.08578266,0.002611408,0.4386426],"study_design_scores_gemma":[0.00001610256,0.00005201813,0.005975961,0.00002330194,0.00002423157,0.0003082407,0.0001203297,0.912556,0.05780892,0.01534272,0.007723043,0.00004907915],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03975786,0.0003967936,0.9568439,0.0001166588,0.00002601473,0.00004780476,0.0001995693,0.0002900956,0.002321235],"genre_scores_gemma":[0.279045,0.001243037,0.7162371,0.00005825731,0.00003784901,0.0001120093,0.0008161429,0.0001584424,0.00229222],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00118724,"threshold_uncertainty_score":0.00264734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03186901154714777,"score_gpt":0.2497742088339305,"score_spread":0.2179051972867827,"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."}}