{"id":"W2906083934","doi":"10.1093/nsr/nwy158","title":"Exposures to temperature beyond threshold disproportionately reduce vegetation growth in the northern hemisphere","year":2018,"lang":"en","type":"article","venue":"National Science Review","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"State Key Laboratory of Earth Surface Processes and Resource Ecology; National Natural Science Foundation of China","keywords":"Vegetation (pathology); Boreal; Temperate climate; Taiga; Environmental science; Shrub; Northern Hemisphere; Terrestrial ecosystem; Ecosystem; Atmospheric sciences; Vegetation type; Ecology; Physical geography; Southern Hemisphere; Climate change; Climatology; Geography; Biology; Geology","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":[0.0003740942,0.0001855092,0.0002536077,0.0002696632,0.0001245639,0.0003573045,0.00026323,0.0002196539,0.001125642],"category_scores_gemma":[0.0006532248,0.0000576478,0.0001798038,0.0005051297,0.0002101097,0.0001968869,0.0002014864,0.0002851828,0.0001507881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004791138,"about_ca_system_score_gemma":0.0006577298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01002506,"about_ca_topic_score_gemma":0.01852997,"domain_scores_codex":[0.9998803,0.00002563261,0.000008781721,0.00003474057,0.00003164594,0.00001891447],"domain_scores_gemma":[0.9997988,0.00005185324,0.00007292951,0.000006772189,0.00004411329,0.00002546586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002790169,0.00007185948,0.06476288,0.009838713,0.0008030196,0.000281172,0.00042584,0.002427293,0.01767702,0.003926614,0.02163628,0.8778703],"study_design_scores_gemma":[0.00003074009,0.0003648619,0.721173,0.001232289,0.0005112333,0.0005111577,0.0005168843,0.0004437438,0.002617221,0.002461946,0.2701078,0.00002908161],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.07932419,0.9071886,0.0004801476,0.002745675,0.0002879961,0.00001318405,0.0003801881,0.00003519137,0.009544814],"genre_scores_gemma":[0.2686467,0.728179,0.0003705407,0.0006422924,0.0003462622,0.00001748409,0.0002815665,0.00001047236,0.001505775],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01002506,"threshold_uncertainty_score":0.0199334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02557779224098218,"score_gpt":0.3008585065794026,"score_spread":0.2752807143384204,"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."}}