{"id":"W4288429875","doi":"10.3390/land11081179","title":"Regional and Phased Vegetation Responses to Climate Change Are Different in Southwest China","year":2022,"lang":"en","type":"article","venue":"Land","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Division of Human Resource Development","keywords":"Climate change; Plateau (mathematics); Vegetation (pathology); Cru; Climatology; Precipitation; Monsoon; Environmental science; Normalized Difference Vegetation Index; Physical geography; East Asian Monsoon; Geography; Geology; Meteorology","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":[0.0003148303,0.0002089789,0.000216995,0.000721937,0.0002825226,0.0003373565,0.0001765107,0.0001690562,0.0005937474],"category_scores_gemma":[0.0005156332,0.0001407589,0.0003784872,0.001075321,0.0002652475,0.0002756302,0.0003275856,0.0001128215,0.00006740906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004724057,"about_ca_system_score_gemma":0.000396905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01996358,"about_ca_topic_score_gemma":0.03034283,"domain_scores_codex":[0.9997711,0.00003089481,0.0000222798,0.00008002767,0.0000385585,0.00005714882],"domain_scores_gemma":[0.9997274,0.00003603541,0.00006992158,0.00003829757,0.00007233307,0.00005597169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006887531,0.00001976,0.983831,0.00002992581,0.00008397434,0.0001310146,0.0006221849,0.0009965664,0.006636725,0.0001338091,0.0001903043,0.007255719],"study_design_scores_gemma":[0.000001154638,0.000006711783,0.9990363,0.00000124321,0.000007715959,0.00001478401,0.0001125996,0.0005748146,0.00009226313,0.00001848798,0.0001318416,0.000002227363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994879,0.00004036173,0.00008717204,0.00002109936,0.000001929643,0.000002593722,0.0001401636,0.000005238374,0.0002135694],"genre_scores_gemma":[0.9994932,0.00003324491,0.00006190872,0.0000123418,0.000003233349,0.000003768333,0.0002247637,0.000001956731,0.0001654665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01996358,"threshold_uncertainty_score":0.03969473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881939749024962,"score_gpt":0.2307663381089324,"score_spread":0.2119469406186828,"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."}}