{"id":"W2888289639","doi":"10.1080/01431161.2018.1512768","title":"Full-polarimetric burn scar mapping – the differences of active fire and post-fire situations","year":2018,"lang":"en","type":"article","venue":"International Journal of Remote Sensing","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Indian Space Research Organisation; Japan Aerospace Exploration Agency; National Aeronautics and Space Administration","keywords":"Remote sensing; Synthetic aperture radar; Environmental science; Polarimetry; Backscatter (email); Satellite; Smoke; Computer science; Meteorology; Geology; Scattering; Geography; Engineering","routes":{"ca_aff":false,"ca_fund":false,"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":[0.000243944,0.0002427385,0.0001311728,0.0009929087,0.0001187034,0.0004598053,0.0001406921,0.0001265412,0.0006305087],"category_scores_gemma":[0.0003440675,0.00009598738,0.0001373668,0.0006950754,0.0001880685,0.0002429476,0.0001753333,0.0001297633,0.0002162913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001489707,"about_ca_system_score_gemma":0.0002372957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005814238,"about_ca_topic_score_gemma":0.01198741,"domain_scores_codex":[0.9998922,0.00001384267,0.000004459943,0.00001994219,0.00003781542,0.00003172416],"domain_scores_gemma":[0.9998585,0.00003539736,0.00002815645,0.00001795902,0.00004688324,0.00001318383],"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":[0.0009912766,0.000243478,0.2976741,0.0002892098,0.00009673154,0.000988639,0.001265193,0.031067,0.2539407,0.001037152,0.001018483,0.411388],"study_design_scores_gemma":[0.000007552086,0.0001178613,0.8936604,0.00002117344,0.0000472769,0.001057468,0.001020312,0.06837771,0.03324689,0.0005632985,0.001851056,0.00002914095],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784077,0.0001541682,0.01774012,0.00002036827,0.000006800638,0.00002360167,0.0003559824,0.00009573701,0.003195581],"genre_scores_gemma":[0.9930647,0.0001068668,0.006052467,0.000006350786,0.000002493877,0.000006759487,0.0003021067,0.0000123093,0.0004460979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005814238,"threshold_uncertainty_score":0.01156074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01534828713051271,"score_gpt":0.2424621524145292,"score_spread":0.2271138652840165,"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."}}