{"id":"W2622646501","doi":"10.1111/gcb.13780","title":"Tree‐ring analysis and modeling approaches yield contrary response of circumboreal forest productivity to climate change","year":2017,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Environmental science; Productivity; Global warming; Vegetation (pathology); Climatology; Dendrochronology; Ecosystem; Tree line; Forest ecology; Physical geography; Atmospheric sciences; Ecology; Geography; Geology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008803813,0.0001944515,0.0004608237,0.000184933,0.0002760265,0.00005853691,0.0003501315,0.0001442256,0.00002454827],"category_scores_gemma":[0.0004683387,0.0001651318,0.00009126526,0.000262931,0.0001983283,0.0002711574,0.0001209618,0.00007822942,0.00001016425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009390905,"about_ca_system_score_gemma":0.00001917758,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01717931,"about_ca_topic_score_gemma":0.05035673,"domain_scores_codex":[0.9984252,0.0002044252,0.0002281862,0.0005175359,0.0001126448,0.0005119905],"domain_scores_gemma":[0.9989167,0.0001887612,0.0001711977,0.0005155299,0.0000370333,0.0001708034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001367515,0.00001616092,0.9304464,0.00003025311,0.00008669,0.000009577921,0.0002339747,0.00003817352,0.00006391851,0.0001060225,0.000001447504,0.06759988],"study_design_scores_gemma":[0.0001772958,0.0002596833,0.9813155,0.00002575016,0.0001122918,0.00001249168,0.00009537704,0.01761958,0.00003104134,0.0001509651,0.0000261563,0.0001739071],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954151,0.001006533,0.0001736176,0.0008582754,0.0001659979,0.0003749721,0.001263197,0.00004408705,0.0006982379],"genre_scores_gemma":[0.9990513,0.0001699415,0.0003900621,0.00006780559,0.0002295224,0.00001627749,0.00006840794,0.000003770179,0.000002861251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06742597,"threshold_uncertainty_score":0.9893654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.180443212549149,"score_gpt":0.301638208361565,"score_spread":0.121194995812416,"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."}}