{"id":"W4221031767","doi":"10.1029/2021jg006697","title":"Remote Sensing of Tundra Ecosystems Using High Spectral Resolution Reflectance: Opportunities and Challenges","year":2022,"lang":"en","type":"article","venue":"Journal of Geophysical Research Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Jet Propulsion Laboratory; U.S. Department of Energy; Earth Sciences Division; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Tundra; Biome; Remote sensing; Vegetation (pathology); Environmental science; Arctic; Temporal scales; Geography; Ecology; Ecosystem; Physical geography","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":[0.002731511,0.0003379762,0.0003440068,0.0007589813,0.000187432,0.001639758,0.0005903254,0.0007130101,0.0004460757],"category_scores_gemma":[0.001769076,0.0001750478,0.0003236611,0.001745068,0.000549924,0.001486804,0.0006479279,0.0009125638,0.0002029682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004638654,"about_ca_system_score_gemma":0.0007977833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008704189,"about_ca_topic_score_gemma":0.01300028,"domain_scores_codex":[0.9994707,0.0001999294,0.00002963611,0.0001137246,0.0001528243,0.00003318413],"domain_scores_gemma":[0.9982464,0.0008665849,0.0001583703,0.0001184143,0.000546215,0.00006396224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009441363,0.00009681255,0.03887351,0.004898774,0.0006140013,0.0003762726,0.0005364529,0.02976321,0.05043021,0.02175236,0.02253401,0.83003],"study_design_scores_gemma":[0.00005965163,0.0002451662,0.1367825,0.004264249,0.0005050903,0.001178917,0.002852457,0.2164421,0.02485626,0.1165821,0.4958471,0.0003844132],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1550117,0.6878501,0.1069854,0.02686046,0.0008541842,0.0000740203,0.002052181,0.0006027392,0.01970912],"genre_scores_gemma":[0.6168402,0.2709928,0.103448,0.003335248,0.001854085,0.00008323796,0.001419471,0.0001107754,0.001916144],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008704189,"threshold_uncertainty_score":0.01730704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2864165693098447,"score_gpt":0.3517272968829445,"score_spread":0.06531072757309986,"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."}}