{"id":"W4403766553","doi":"10.3390/rs16213973","title":"Mapping the Normalized Difference Vegetation Index for the Contiguous U.S. Since 1850 Using 391 Tree-Ring Plots","year":2024,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Dendrochronology; Index (typography); Vegetation Index; Forestry; Geography; Environmental science; Physical geography; Normalized Difference Vegetation Index; Geology; Computer science; Climate change; Archaeology","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":[0.0002245026,0.0002427063,0.0001220815,0.001532033,0.0002377749,0.0002949442,0.0001798885,0.000129954,0.0009995727],"category_scores_gemma":[0.0005118435,0.0001066846,0.0002666965,0.001905085,0.0001058091,0.00018146,0.0002246803,0.0001345296,0.0003278983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005273736,"about_ca_system_score_gemma":0.0004385411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1512217,"about_ca_topic_score_gemma":0.2574635,"domain_scores_codex":[0.9998919,0.00001277454,0.000007788727,0.00004565003,0.00002353271,0.00001841068],"domain_scores_gemma":[0.9997856,0.00002616027,0.00005673276,0.00001713373,0.00008880682,0.00002561044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007231099,0.0001004273,0.9316894,0.00005472268,0.0001193382,0.0002244792,0.0004572696,0.010107,0.004476701,0.0004828267,0.005109822,0.04710575],"study_design_scores_gemma":[0.000005011028,0.00002053403,0.9814362,0.00001179467,0.00001767219,0.00005067387,0.0002207696,0.01255554,0.0004563803,0.000073492,0.005144179,0.000007626928],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877754,0.000194925,0.00149459,0.00004447881,0.00001214531,0.00001423603,0.008349724,0.00008701081,0.002027473],"genre_scores_gemma":[0.9851222,0.0001595617,0.003926971,0.00001225209,0.000007808612,0.00002666747,0.01015154,0.00001215799,0.0005808488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1512217,"threshold_uncertainty_score":0.3006829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02982358384736549,"score_gpt":0.2576801564824274,"score_spread":0.2278565726350619,"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."}}