{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007744895,0.00006074197,0.00006592546,0.00002387678,0.0001014416,0.00001433085,0.00004884613,0.00001513164,0.000057718],"category_scores_gemma":[0.000009721479,0.00004509194,0.00001062206,0.0001075473,0.00001874204,0.00003703485,0.00008108944,0.00007407898,0.0000163326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006861571,"about_ca_system_score_gemma":7.737331e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005117773,"about_ca_topic_score_gemma":0.003673383,"domain_scores_codex":[0.9994346,0.0000660545,0.00006241076,0.0001594097,0.0001588866,0.0001186646],"domain_scores_gemma":[0.9998375,0.00002056673,0.00003029857,0.00007043656,0.000001024556,0.00004023225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007593216,0.00003742445,0.9905666,0.000004332263,9.422222e-7,0.00001477994,0.002318647,0.0001973028,0.00513028,0.000003808781,0.0001384742,0.001511537],"study_design_scores_gemma":[0.0002612992,0.00004757029,0.9977976,0.00001272407,0.000002056391,0.00001477712,0.0001001985,0.000166162,0.00005258209,0.00005236699,0.001423626,0.00006900931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979063,0.00003965654,0.00000327622,0.001531352,0.00005273228,0.0001552699,0.00001039106,0.00001392758,0.0002871521],"genre_scores_gemma":[0.9994143,0.00001057426,0.0000936004,0.0003352902,0.00002836474,0.000007770092,0.000009773484,0.000004444127,0.00009590504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007231088,"threshold_uncertainty_score":0.2049834,"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."}}