{"id":"W2054056058","doi":"10.1016/j.isprsjprs.2013.05.004","title":"Applications of ALOS PALSAR for monitoring biophysical parameters of a degraded black mangrove (Avicennia germinans) forest","year":2013,"lang":"en","type":"article","venue":"ISPRS Journal of Photogrammetry and Remote Sensing","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Algoma University; Western University; Nipissing University","funders":"","keywords":"Mangrove; Environmental science; Avicennia; Remote sensing; Synthetic aperture radar; Forestry; Geography; Physical geography; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001832042,0.0002439707,0.0001386671,0.0005001957,0.0003548635,0.0003146451,0.0002068656,0.0002071095,0.0004401072],"category_scores_gemma":[0.0001647678,0.0001229664,0.0001318487,0.0004724257,0.0001536153,0.0003201694,0.0001728237,0.0001516087,0.00009277451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002542725,"about_ca_system_score_gemma":0.0002499981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0135067,"about_ca_topic_score_gemma":0.02337584,"domain_scores_codex":[0.9999238,0.00001033884,0.000003692127,0.00002306979,0.00002254359,0.00001650293],"domain_scores_gemma":[0.999889,0.00002882122,0.00001205095,0.00001248158,0.00003953398,0.00001805002],"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":[0.001048201,0.000566594,0.3216799,0.0001462839,0.0001420113,0.0008030308,0.0008512233,0.04724986,0.4623478,0.0004264303,0.001419421,0.1633193],"study_design_scores_gemma":[0.00007480817,0.0002632986,0.6592261,0.00001397905,0.0001690597,0.0003710536,0.001133383,0.285967,0.04999842,0.000418398,0.002319238,0.00004522773],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971096,0.00006063546,0.001598215,0.00003889699,0.000006110418,0.000006506926,0.0002277711,0.00007746663,0.0008748293],"genre_scores_gemma":[0.9975089,0.00004197712,0.002133276,0.00000943858,0.000004110893,0.000003701701,0.000111935,0.000004384499,0.0001823154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0135067,"threshold_uncertainty_score":0.02685618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008572986083726109,"score_gpt":0.233252635369203,"score_spread":0.2246796492854768,"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."}}