{"id":"W2097819357","doi":"10.1016/j.rse.2005.07.006","title":"A MODIS-derived photochemical reflectance index to detect inter-annual variations in the photosynthetic light-use efficiency of a boreal deciduous forest","year":2005,"lang":"en","type":"article","venue":"Remote Sensing of Environment","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":199,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Université Laval","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service; Canadian Foundation for Climate and Atmospheric Sciences; Goddard Space Flight Center; University of Maryland, Baltimore County; National Aeronautics and Space Administration","keywords":"Photochemical Reflectance Index; Remote sensing; Environmental science; Taiga; Normalized Difference Vegetation Index; Eddy covariance; Atmospheric sciences; Canopy; Enhanced vegetation index; Vegetation (pathology); Boreal; Nadir; Atmosphere (unit); Deciduous; Flux (metallurgy); Leaf area index; Boreal ecosystem; Satellite; Meteorology; Geology; Vegetation Index; Ecosystem; Chemistry; Physics; Botany; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005313987,0.000366064,0.0003813208,0.0005664299,0.000304796,0.0003298762,0.0003048321,0.0002481343,0.0002479744],"category_scores_gemma":[0.0004693763,0.0001675433,0.0002373103,0.0005223027,0.0001169827,0.0004041053,0.0001437651,0.0002065268,0.0000862458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000393618,"about_ca_system_score_gemma":0.0003145765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007890062,"about_ca_topic_score_gemma":0.01484665,"domain_scores_codex":[0.9998794,0.00001260787,0.00001024343,0.00004638665,0.00003568107,0.00001571796],"domain_scores_gemma":[0.9997582,0.00004499481,0.00004483937,0.00002303519,0.00008042433,0.00004847593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001435375,0.001253852,0.616747,0.0001290224,0.0003527609,0.0001740158,0.0001992709,0.01633977,0.2556617,0.0002790514,0.00209485,0.1053334],"study_design_scores_gemma":[0.00006918285,0.0002453054,0.887836,0.000005144187,0.0001170553,0.00019497,0.00008311844,0.09709303,0.0135948,0.0001083605,0.0006205181,0.00003266287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968406,0.00009346694,0.002000587,0.00001966215,0.00001441109,0.0000135106,0.0004160069,0.0001138053,0.000488103],"genre_scores_gemma":[0.9931766,0.0000352237,0.005977164,0.00001744741,0.000008348015,0.00001188306,0.0006005315,0.00001496346,0.0001577399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007890062,"threshold_uncertainty_score":0.0156883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008013090051860778,"score_gpt":0.2204777550455849,"score_spread":0.2124646649937242,"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."}}