{"id":"W4220886470","doi":"10.1016/j.rse.2022.112961","title":"Canopy spectral reflectance detects oak wilt at the landscape scale using phylogenetic discrimination","year":2022,"lang":"en","type":"article","venue":"Remote Sensing of Environment","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Université de Montréal","funders":"Minnesota Invasive Terrestrial Plants and Pests Center, University of Minnesota; University of Minnesota; National Aeronautics and Space Administration; U.S. Forest Service; National Science Foundation","keywords":"Remote sensing; Canopy; Reflectivity; Scale (ratio); Environmental science; Spectral signature; Geography; Biology; Ecology; Cartography; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003193864,0.0002459169,0.0002222239,0.00003582902,0.0006920365,0.0000190856,0.0002507856,0.00005881881,0.0005047088],"category_scores_gemma":[0.00001761562,0.000189934,0.0001455903,0.0002563328,0.0002770416,0.00005157517,0.0006136513,0.0002719145,0.00005859622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001314747,"about_ca_system_score_gemma":0.00001224693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004369793,"about_ca_topic_score_gemma":0.000354504,"domain_scores_codex":[0.9975914,0.0002588787,0.0003189306,0.000519177,0.0008815172,0.0004300956],"domain_scores_gemma":[0.9989858,0.00005466753,0.0002734808,0.0005976264,0.000004185934,0.00008421025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002540045,0.00002033434,0.0005554461,0.000005546583,0.00001377235,0.00001531888,0.0005669299,0.2689199,0.7093315,7.208076e-7,0.0002512731,0.02029379],"study_design_scores_gemma":[0.00100535,0.0004664162,0.1085383,0.00008445632,0.0002957053,0.001106168,0.001193855,0.5643144,0.307839,0.000735331,0.01326953,0.001151433],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995216,0.0001855921,0.0009652909,0.0005941076,0.0002161309,0.0003417399,0.00000939207,0.00002681965,0.002444999],"genre_scores_gemma":[0.9831088,0.00005792618,0.01585357,0.0001460524,0.00007757457,9.42398e-8,0.00001541196,0.00003598956,0.0007045601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4014925,"threshold_uncertainty_score":0.7745284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135056416874563,"score_gpt":0.2143463445502707,"score_spread":0.2029957803815251,"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."}}