{"id":"W4294626899","doi":"10.1111/gcb.16418","title":"Effects of climate change on forest plantation productivity in Chile","year":2022,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Commonwealth Scientific and Industrial Research Organisation","keywords":"Environmental science; Productivity; Pinus radiata; Climate change; Eucalyptus globulus; Forest management; Wood production; Climate change scenario; Eucalyptus; Agroforestry; Forest ecology; Atmospheric sciences; Ecology; Ecosystem","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":[0.0003704216,0.0002448927,0.0001365018,0.0004325208,0.0001736714,0.000616571,0.0003614591,0.000267943,0.001382039],"category_scores_gemma":[0.0005948696,0.0001095953,0.0004406661,0.0005895967,0.0001975343,0.0003218659,0.000343824,0.0002657915,0.0001399451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002375937,"about_ca_system_score_gemma":0.000670424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06169873,"about_ca_topic_score_gemma":0.0322366,"domain_scores_codex":[0.9998921,0.00002951396,0.000005911146,0.00001826159,0.00002114652,0.00003306728],"domain_scores_gemma":[0.9995885,0.0001569708,0.00008663579,0.00002889577,0.00008859258,0.00005036903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005474851,0.0001656177,0.7828708,0.0003232172,0.0003536425,0.001250441,0.0003368583,0.179693,0.01239327,0.001334975,0.002580606,0.01814992],"study_design_scores_gemma":[0.00004949893,0.0001160734,0.9202398,0.0000419205,0.00006517328,0.00009825428,0.0006321504,0.0720477,0.003424054,0.0004118658,0.002835353,0.00003825753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964328,0.0001643708,0.0001571033,0.0001817421,0.000005048025,0.000007563118,0.001150662,0.0000330071,0.001867792],"genre_scores_gemma":[0.9991676,0.00008607276,0.00007621959,0.000009871175,0.000002020598,0.000007420512,0.0003877763,0.000003416668,0.000259611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06169873,"threshold_uncertainty_score":0.1226792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399650096056416,"score_gpt":0.2304642673966622,"score_spread":0.2164677664360981,"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."}}