{"id":"W4293508492","doi":"10.1029/2022ef002760","title":"Satellite Observed Land Surface Greening in Summer Controlled by the Precipitation Frequency Rather Than Its Total Over Tibetan Plateau","year":2022,"lang":"en","type":"article","venue":"Earth s Future","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Greening; Normalized Difference Vegetation Index; Precipitation; Plateau (mathematics); Vegetation (pathology); Environmental science; Climate change; Satellite; Atmospheric sciences; Desertification; Climatology; Physical geography; Geography; Meteorology; Ecology; Mathematics; Geology; Biology; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004120546,0.0001960056,0.0002164568,0.00001433955,0.0002834216,0.00005854455,0.0002174948,0.00009112423,0.001711767],"category_scores_gemma":[0.00001807049,0.0001232376,0.00007997979,0.0002855571,0.00004339193,0.000192383,0.000108026,0.0004884233,0.0001210288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009055571,"about_ca_system_score_gemma":0.0000100108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004463621,"about_ca_topic_score_gemma":0.001653085,"domain_scores_codex":[0.9982255,0.0003780547,0.0002355938,0.0003407122,0.0005020907,0.0003181276],"domain_scores_gemma":[0.9994823,0.00009017923,0.0001303539,0.0002297529,0.000008541813,0.00005881193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006157818,0.0002193687,0.6881432,0.00001329568,0.0001186811,0.00008232415,0.01633658,0.06332944,0.2044685,0.00007450945,0.01700241,0.009595844],"study_design_scores_gemma":[0.002436101,0.00008648774,0.9619725,0.00001012122,0.00001603257,0.00002441017,0.0004943943,0.002669752,0.0006789031,0.00005831101,0.03126018,0.0002927954],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928151,0.001301413,0.000006135264,0.00145515,0.0004850992,0.0006191164,0.0000282665,0.00004022697,0.003249492],"genre_scores_gemma":[0.9923069,0.00004258491,0.0003068618,0.0003458002,0.0001492348,0.00000596422,0.00006782376,0.00002109699,0.006753718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2738293,"threshold_uncertainty_score":0.9992008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119908192007385,"score_gpt":0.2030228547009681,"score_spread":0.1918237727808943,"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."}}