{"id":"W2972842636","doi":"10.1093/nsr/nwz132","title":"Local and teleconnected temperature effects of afforestation and vegetation greening in China","year":2019,"lang":"en","type":"article","venue":"National Science Review","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Higher Education Discipline Innovation Project; National Natural Science Foundation of China; Agence Nationale de la Recherche","keywords":"Afforestation; Environmental science; Vegetation (pathology); Climatology; Greening; Geopotential height; Climate change; Physical geography; Arctic oscillation; Spring (device); Atmospheric sciences; Geography; Precipitation; Northern Hemisphere; Geology; Ecology; Meteorology; Agroforestry; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002890473,0.0002737016,0.0002735511,0.0003973868,0.0002905528,0.0004500489,0.0002973021,0.0002224227,0.0006555254],"category_scores_gemma":[0.0003082561,0.0001289585,0.000463521,0.0006687307,0.0002430585,0.0002894353,0.0003222325,0.00015197,0.00004041049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048692,"about_ca_system_score_gemma":0.0009404666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08801047,"about_ca_topic_score_gemma":0.1044084,"domain_scores_codex":[0.9999242,0.00001497517,0.000006909207,0.00002072694,0.00001068535,0.00002249266],"domain_scores_gemma":[0.9999202,0.00001984561,0.00001761167,0.000006945634,0.00001733681,0.00001802437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001317527,0.0000771936,0.8232537,0.0003451811,0.0006938876,0.000648961,0.0004165722,0.1235437,0.01110349,0.00265849,0.001094995,0.03603195],"study_design_scores_gemma":[0.00001964684,0.00005294416,0.9145229,0.0000255847,0.0002817697,0.00005720907,0.0002102362,0.08119898,0.001155594,0.000608007,0.001844092,0.00002306239],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967214,0.001651467,0.000337653,0.0001581603,0.00001443418,0.000003696737,0.0001463401,0.00001505827,0.000951877],"genre_scores_gemma":[0.9987919,0.0008627074,0.00007446183,0.00001468804,0.000004636587,0.000002201548,0.00008501099,0.000002461883,0.0001620216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08801047,"threshold_uncertainty_score":0.1749964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002310478386703035,"score_gpt":0.2119463078454397,"score_spread":0.2096358294587367,"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."}}