{"id":"W4386893656","doi":"10.1007/s11430-022-1149-x","title":"Evidence of advancing spring xylem phenology in Chinese forests under global warming","year":2023,"lang":"en","type":"article","venue":"Science China Earth Sciences","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Phenology; Xylem; Environmental science; Climate change; Growing season; Global warming; Dendrochronology; Primary production; Climatology; Atmospheric sciences; Ecosystem; Ecology; Biology; Geology; Botany","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":[0.0004041897,0.000177726,0.0001633245,0.0006211261,0.0004732565,0.0005113361,0.0003011907,0.0002382399,0.002356347],"category_scores_gemma":[0.0005796877,0.0001283505,0.0002510716,0.0008768737,0.0004243305,0.0003625493,0.0003528266,0.0002072897,0.0001211353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005499303,"about_ca_system_score_gemma":0.0006471814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02851863,"about_ca_topic_score_gemma":0.04864155,"domain_scores_codex":[0.9998798,0.00001386697,0.000008164309,0.00004135575,0.00001773024,0.0000391061],"domain_scores_gemma":[0.9991896,0.0001520603,0.0002467886,0.00009008107,0.0001560653,0.0001655085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003352369,0.00004089376,0.9743,0.00006654573,0.00010423,0.0001621041,0.0006943657,0.0002326005,0.01667831,0.000416584,0.0002236678,0.006745447],"study_design_scores_gemma":[0.000001040859,0.000005578448,0.9996021,8.244384e-7,0.00001132782,0.00000662183,0.0001006765,0.00002955624,0.0001368798,0.00002223009,0.0000823329,8.01063e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985134,0.000194398,0.00004590667,0.00008208393,0.000004225832,0.000001510604,0.0001313421,0.000003623409,0.001023485],"genre_scores_gemma":[0.9994851,0.00009390358,0.00002400729,0.00003841279,0.000005960356,0.000001282078,0.0001242219,9.785196e-7,0.0002260862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02851863,"threshold_uncertainty_score":0.05670524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03277805112698375,"score_gpt":0.3110714617401183,"score_spread":0.2782934106131346,"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."}}