{"id":"W2118100915","doi":"10.14430/arctic2","title":"Remote Sensing of Arctic Vegetation: Relations between the NDVI, Spatial Resolution and Vegetation Cover on Boothia Peninsula, Nunavut","year":2009,"lang":"en","type":"article","venue":"ARCTIC","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tundra; Normalized Difference Vegetation Index; Environmental science; Vegetation (pathology); Arctic; Physical geography; Arctic vegetation; Remote sensing; Enhanced vegetation index; Ecosystem; Watershed; Plant cover; Climate change; Ecology; Geography; Vegetation Index; Geology; Canopy; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0002316263,0.0001672059,0.0001121296,0.0004422231,0.0004535411,0.0004622946,0.0002381342,0.00007244393,0.0007434297],"category_scores_gemma":[0.0004274861,0.0001144888,0.00004490247,0.000685235,0.0001340791,0.00008183273,0.0001989208,0.0001083414,0.0001282578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001287079,"about_ca_system_score_gemma":0.001002799,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7315181,"about_ca_topic_score_gemma":0.8981274,"domain_scores_codex":[0.9998997,0.00001854379,0.000004861023,0.00002888727,0.0000338137,0.0000141313],"domain_scores_gemma":[0.9997185,0.00005434514,0.0000380931,0.00001216647,0.0001292422,0.00004769632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000156383,0.00004600428,0.9701036,0.00006097041,0.00003879653,0.00008980063,0.0005267325,0.001320538,0.00642956,0.0001291925,0.001699727,0.01939867],"study_design_scores_gemma":[0.0000050439,0.000009166944,0.9961113,0.00002279905,0.000008005913,0.00002669411,0.0004946663,0.001560173,0.0003870285,0.00001980965,0.001351493,0.000003852571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946714,0.0003890138,0.0002610117,0.00006073627,0.000008415103,0.00002017447,0.002158203,0.00002354319,0.002407434],"genre_scores_gemma":[0.9956959,0.0002537069,0.001239131,0.00002030021,0.000005041849,0.00002209904,0.001633447,0.000004264947,0.001126115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2684819,"threshold_uncertainty_score":0.540126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03004940297873417,"score_gpt":0.2442821782147324,"score_spread":0.2142327752359982,"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."}}