{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001599978,0.00009200291,0.0001406621,0.0001801983,0.00007807041,0.00004202694,0.000191151,0.00005127073,0.0000110604],"category_scores_gemma":[0.0001413535,0.00006560198,0.00006645921,0.0001850328,0.0001133379,0.0001048323,0.00003648317,0.0001621973,0.00000140259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005513713,"about_ca_system_score_gemma":0.00002534154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001117586,"about_ca_topic_score_gemma":0.00001394968,"domain_scores_codex":[0.9992582,0.00002211535,0.0002905872,0.00007135289,0.000273255,0.00008451769],"domain_scores_gemma":[0.9988449,0.0002077538,0.000189001,0.0001023547,0.0006222876,0.00003375597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001217695,0.000005812696,0.00003502149,0.000003788742,0.0001260676,0.000003204358,0.0006555385,0.000002523806,0.01029448,0.00007811459,0.00005754607,0.9887257],"study_design_scores_gemma":[0.001310142,0.0006691976,0.08867329,0.001980396,0.0003418853,0.00549233,0.006671275,0.6387966,0.1389717,0.0188605,0.09733832,0.0008943721],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6174445,0.0004250659,0.3800584,0.0011111,0.0002466957,0.00005634753,0.000006795407,0.00002369729,0.0006273494],"genre_scores_gemma":[0.8033236,0.0002100498,0.1961354,0.00004122874,0.0002690957,2.224671e-8,0.000001138783,0.000009493038,0.000009877575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9878314,"threshold_uncertainty_score":0.2675171,"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."}}