{"id":"W2154839779","doi":"10.1111/j.1365-2486.2008.01614.x","title":"Age‐dependent response of boreal forest to temperature and rainfall variability","year":2008,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Energy; National Science Foundation","keywords":"Evergreen; Environmental science; Boreal; Taiga; Photosynthesis; Precipitation; Seasonality; Climatology; Ecology; Geography; Biology; Botany; Geology; Meteorology","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":[0.0003568881,0.0001833664,0.0001593294,0.0004170322,0.0004312866,0.0004551673,0.0002238108,0.0001323968,0.0004241861],"category_scores_gemma":[0.0006293227,0.000115631,0.0001248056,0.0002921266,0.0002230622,0.0001705484,0.0001697492,0.0001283934,0.00006432028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001318472,"about_ca_system_score_gemma":0.0005995322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4272234,"about_ca_topic_score_gemma":0.7259093,"domain_scores_codex":[0.9998272,0.00001743875,0.000006734575,0.00004110355,0.00004506117,0.00006242857],"domain_scores_gemma":[0.9994683,0.00004538184,0.0001129678,0.00002993264,0.0002334806,0.0001099597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001625962,0.00002182797,0.9722427,0.000008975165,0.00004798888,0.00005785776,0.0002065617,0.0002980227,0.02304929,0.00002640978,0.0001620411,0.003715722],"study_design_scores_gemma":[4.316996e-7,0.000005153257,0.9997301,2.950715e-7,0.000001894754,0.00001205248,0.00002699501,0.00006569958,0.00009143178,0.000002480713,0.00006228277,0.000001131455],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992862,0.00007171796,0.00007047403,0.000006096277,0.000001899655,0.000002845325,0.000227969,0.000004108505,0.0003286341],"genre_scores_gemma":[0.9994707,0.00002574838,0.00007373612,0.000008105023,0.000001378918,0.000002272834,0.0002713725,0.000001700896,0.0001449769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4272234,"threshold_uncertainty_score":0.8494734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01657039951965314,"score_gpt":0.2349224245144613,"score_spread":0.2183520249948081,"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."}}